A 2:2 honours degree (or equivalent international qualification) in any discipline (except computer science).
Months of entry
Course content.
Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.
Data has been called “the oil of the digital economy” (Wired) with importance to all organisations in all sectors and at every level. As such, wide-ranging opportunities exist for skilled graduates with expertise in data science. Designed in collaboration with industry partners and supported by funding from the Office for Students (OfS), our new MSc Data Science conversion programme has a distinctive focus on problem-based learning and offers modules designed to support your career goals and aspirations. Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis. This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship. It is suitable for students from industry, including those who come from managerial, leadership and information administration posts and who wish to upskill in order to enter the world of data science. The programme also appeals to science graduates and those from the social sciences (eg criminology, economics, public health and psychology), life sciences (eg biological and biomedical sciences) and applied sciences (eg engineering and medicine) who wish to learn how to analyse data or who wish to understand the world of data science from a business perspective. The programme is designed for students who do not have a first degree in computer science (those who do may wish to consider our MSc Artificial Intelligence or our MSc Advanced Computer Science ). We would however consider applications in their own merit, so we encourage anyone to get in touch. The kinds of positions we would anticipate graduates of this programme gravitating towards would include roles in analytics engineering, big data engineering and business intelligence, and as data architects, data analysts, data scientists and statisticians. As a student in the Department of Computer Science, you will enjoy 24-hour exclusive access to our computer laboratories, including a designated MSc computer science laboratory supported by a team of systems specialists and specialist laboratory for artificial intelligence (AI) and machine learning work. You will also gain insights from the cutting-edge research of our academic staff and become part of a rich community that is research active and attracts staff, students and visitors from around the world. Loughborough University is part of the #JoinYourAIFuture national recruitment campaign programme funded by the OfS. The OfS is the independent regulator for higher education in England.
You are now able to apply for the part-time version of the MSc Data Science programme. This has been designed to allow students to take two modules per semester and it will provide additional time for students to study the taught material and to complete their assessments. The modules of the part-time version run in parallel to the full-time programme. This provides a high level of flexibility for our part-time students in taking on more modules when possible; taking fewer modules if they want to extend the length of their programme.
Information for international students
Applicants must meet the minimum English language requirements. Further details are available on the International website .
Fees and funding
Please see our website for a list of master's degree funding and scholarships.
Qualification, course duration and attendance options
Campus-based learning is available for this qualification
Course contact details
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UCC Single Module Certificate Course
Course Description :
This is an introductory course that allows students to format, calculate, and analyze data. The course will equip students with the skills needed to use a spreadsheet and python programs. Topics include numerical and graphical summaries of data, hypothesis testing, confidence intervals, counts and tables, analysis of variance, regression, principal components, and cluster analysis. Upon completion of this course, students should be able to think critically about data and apply standard statistical inference procedures to draw conclusions from such analyses.
UPCOMING CERTIFICATE COURSES
Cyber Security and Data Analytics
Qualification(s) available: msc.
Enter the dynamic and fast-changing world of cyber security and data analytics on this flexible master’s at Loughborough London – in the heart of the UK’s tech hub.
High tech systems like cloud computing, wearable devices, mobile technologies and AI are now embedded into daily life and evolving rapidly. With this comes a growing demand for specialists who can turn the resulting data into actionable insights, protect it from attack, and harness it to create the next wave of cyber defenses.
On this course, you’ll gain a comprehensive understanding of cyber security and machine learning techniques. You can then focus on areas like cryptography, fintech, AI and data analytics, Internet of Things, game technologies and more. It all adds up to a holistic skill set that will set you up to address the ever-evolving challenges of the digital world.
Develop robust skills through practice and collaboration
With a mix of theory and hands-on practice, every module is continually updated to reflect the latest developments in the sector.
Hone your skills in blended lab sessions, collaborate on in-depth projects and work with data sets from global tech companies. Industry experts feed into your teaching too, bridging the gap between theory and current industry issues and practices.
Studying in London, among tech giants and start-ups, you’ll have lots of opportunities to network and build professional connections – giving you a headstart in whatever niche you go into.
Forge a data-driven, future-focused career
If you’re looking to work at the sharp end of tech, this master’s will get you ready for senior roles in security operations, antivirus software companies, AI start-ups, e-commerce, or government.
It’s an ideal next step if you’ve got an engineering or computing background. You can also take it as a conversion course from economics, finance, business and other areas if you’re technically minded and want to build on those skills to get ahead in your career.
Why you should choose us
Why you should study this degree.
Develop highly sought-after skills for roles at the interface of AI, data science and cyber security.
Explore the interconnectedness of data analytics and cyber security.
Become an expert in deep learning and neural networks to mitigate cyber threats.
Contribute to collaborative learning and develop essential teamwork skills.
Access real-world insights from leading tech companies.
Full immersion in each topic area through block teaching.
Tailor your master’s in the direction you’re most interested in.
Institute For Digital Technologies
Hear from Sanjeev about studying within the Institute for Digital Technologies and what postgraduate life is like at Loughborough University London.
Both Cyber Security and Data Analytics are pertinent issues in the global computing space. With the ever growing ubiquity of computers and data, these areas are bound to continue to be of great importance.
What you'll study
The following information is intended as an example only and is typically based on module information for the 2023/24 year of entry. Modules are reviewed on an annual basis and may be subject to future changes. Updated Programme and Module Specifications are made available ahead of each academic year. Please also see Terms and Conditions of Study for more information.
The modules on our MSc Cyber Security and Data Analytics programme have been carefully put together to give you the most up-to-date and relevant set of skills and knowledge for progressing in your chosen career.
Compulsory modules
Digital application development (15 credits).
The aim of this module is to provide the students with an understanding and programming skills for for solving practical problems in different applications.
Cybersecurity and Forensics (15 credits)
The aims of this module are to develop students' knowledge and understanding of cybersecurity incidents and processes required for the digital investigation involved aftermath of cyberattacks and cybercrimes.
Advanced Big Data Analytics (15 credits)
The aims of this module are to:
Introduce the concept of Big Data systems and the challenges posed by such systems
Introduce the requirement of advanced analytics, processing techniques and architectural solutions to tackle the problems encountered.
Principles of Artificial Intelligence and Data Analytics (15 credits)
Introduce students to the foundational concepts of data processing and their use in Artificial Intelligence (AI).
Enable students to gain background knowledge necessary to understand and develop different algorithms in AI and Data analytics.
Applied Cryptography (15 credits)
The aims of this module are to introduce the basic concepts of cryptography and develop students' knowledge in cryptographic protocols, techniques, algorithms and implementations in real world, which are the fundamentals of modern cyber security.
Dissertation (60 credits)
The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.
The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:
A desk based research project that could be set by an organisation or could be a subject of the student's choice
A project that involves collection of primary data from within an organisation or based on lab and/or field experiments
A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained)
Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.
Optional modules
Choose one of:, cloud applications and services (15 credits).
The aim of this module is to provide the students with an overview of the cloud technology with a special emphasis on cloud applications and the associated challenges.
Information Systems Security (15 credits)
The aim of this module is to provide the students with the necessary knowledge and technical details of information systems security properties, mechanisms, protocols, management and applications that are widely in use.
Internet of Things & applications (15 credits)
The aims of this module are to provide the students with the knowledge and understanding of computing concepts related to the emerging IoT platforms and devices and their deployment.
Advanced Programming and Data Visualisation (15 credits)
The aims of this module is to equip students with advanced programming skills necessary for developing artificial intelligence systems, and for visualizing big datasets.
Collaborative Project (15 credits)
Provide students with an opportunity to be exposed to project-based teamwork in diverse settings (understood in this context as involving a range of multidisciplinary, multicultural and demographic elements in differing configurations), aiming to strengthen their cooperative and collaborative working skills and competence, while raising awareness and appreciation of diversity itself.
Provide students with hands on experience of identifying, framing and resolving practice oriented and real-world based challenges and problems, using creativity, critical enquiry and appropriate tools to achieve valuable and relevant solutions.
Support the development of students' ability to engage in critical enquiry and individual reflection, as well as to apply individual strengths and skills, building on their own educational backgrounds.
Provide students with opportunities for networking with stakeholders, organisations and corporations, aiming to enhance the competence and skills needed to connect to relevant parties and build up future professional opportunities.
Game Technologies and Advanced 3D Environments (15 credits)
The aims of this module are to introduce students to games technology concepts, basic game architectures and tools, fundamental theories and common practices in game software development, essential knowledge of game-related digital media rendering, game creation packages and their use in digital creative media design and development processes, state-of-the-art methods in capturing and processing of 3D audio and video.
Compulsory module
How you'll be assessed.
You can expect to complete essays and reports of varying lengths, as well as presentations, projects and exams.
How you'll study
As well as your regular timetabled teaching, you’ll have the chance to take part in guest lectures and projects on a range of topics.
Independent study
Practical sessions
Where you'll study
Based on our vibrant London campus, you’ll have access to all our on-site facilities, as well as opportunities to learn off campus.
Entry requirements
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours. To learn the equivalent for your country, please choose it from the drop-down below.
Entry requirements for United Kingdom
A 2:2 honours degree (50% in final year), or equivalent international qualification, in a range of subjects including electronics, physics, computer engineering, software engineering computing or maths. Applicants from other subject areas including business, management and social science subjects will be considered on an individual basis.
Afghanistan
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Masters
95%
85%
70%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Diplomë e Nivelit të Pare (First Level (University) Diploma (from 2010)
4 year Bachelor of Science in Engineering (IEB and BAETE accredited courses only)
1st (70%) / 3.5
2nd (60%) / 3.0
2nd (55%) / 2.75
Masters (1-2 years) following a 3 or 4 year degree
80% / 4.0
65% / 3.25
50% / 2.5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
University of the West Indies, Honours degree
1st (GPA 3.6)
2:1 (GPA 3.0)
2:2 (GPA 2.5)
Barbados Community College
1st or GPA 3.75
2:1 or GPA 3.5
2:2 or GPA 3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Specialist Diploma (5Yr)
9
7
5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Bachelor degree/Licenciaat/Licencie
80% or 17
70% or 14
60% or 12
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Degree from University of the West Indies only
1st (GPA 3.6)
2:1 (GPA 3.0)
2:2 (GPA 2.5)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Maitrise
18
15 or Bien
12 or Assez Bien
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
A Licenciado, 4 years Private (public/private)
85/78
75/66
67/55
Bosnia and Herzegovina
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Diploma Visokog Obrazovanja / Diplomirani
10
9
8
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Master's degree
A or 80%
B or 70%
C or 60%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Brazil - 4 yr Bacharel or Licenciado/Licenciatura or Título Profissional
8.5
7.5
6.5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Brunei
First
Upper Second (60%/B/3.1)
Lower Second (50%/C/2.7)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
5 yr Diploma za Zavarsheno Visshe Obrazovanie (Diploma of Completed Higher Education)
6
5
4
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Masters or Diplôme d'Études Approfondies or Diplôme Ingénieur (professional title)
18
15/20 (Bien)
12.5/20 (Assez Bien)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Masters
80% or B+ or 3.5
70% or B or 3.0
60% or C+ or 2.5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Bachelor degree or Diplome d'Etudes Superiures de Commerce or Diplome d'Ingenieur or Diplôme d'Ingénieur de Conception or a Maitrise or a 4-year Licence.
1st or 15/20 or GPA 3.7
2:1 or 14/20 or Bien (GPA 3.4)
2:2 or 12.5/20 or Assez Bien (GPA 3.1)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
GPA 4.0/Percentage
3.7/85%
3.3/75%
2.7/68%
Out of 9
8
6
5
Out of 12
10
8
6
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Grado de Licenciado / Título (Profesional) de [subject area] (4 years)
6
5.5
5
Students are required to have a bachelor degree (4 years) for entry to a postgraduate programme. The University uses the Shanghai Academic Ranking of World Universities to identify the required final mark, as outlined on the table below:
First class (70%)
Mid 2:1 (65%)
2:1 (60%)
Mid 2:2 (55%)
2:2 (50%)
Shanghai Rank Top 250
83%
79%
75%
73%
70%
Shanghai Rank 251-500
88%
84%
80%
78%
75%
Shanghai Rank 501+
92%
87%
84%
82%
80%
Affiliated colleges
The University will consider students from Affiliated Colleges in the following way:
Applicants from colleges affiliated to universities in the top 250 Shanghai rankings will be considered if they have achieved or are likely to achieve final marks of 75%-84%.
Applicants from colleges affiliated to universities which are 251-500 in the Shanghai rankings will be considered if they have achieved or are likely to achieve final marks of 80%-87%.
Applicants from colleges affiliated to universities which are above 500 in the Shanghai rankings will be considered as follows:
School of Business and Economics: not considered
All other programmes if they have achieved or are likely to achieve final marks of 80%-87%.
Universities given special consideration
Applicants from a small number of Chinese universities that specialise in business, management, finance or creative arts will be given special consideration by the University. The full list of these universities and the Shanghai band under which they will be considered can be found below:
Beijing Film Academy
北京电影学院
Top 250
Capital University of Physical Education and Sports*
首都体育学院
Top 250
Central Academy of Drama
中央戏剧学院
Top 250
Central Academy for Fine Arts
中央美术学院
Top 250
Central Conservatory of Music
中央音乐学院
Top 250
China Academy of Art
中国美术学院
Top 250
China Conservatory of Music
中国音乐学院
Top 250
Guangzhou Sport University*
广州体育学院
251-500
Harbin University of Finance (Harbin Finance University)
哈尔滨金融学院
251-500
Northwest University of Political Science and Law
西北政法大学
Top 250
Shanghai Customs College
上海海关学院
Top 250
Tianjin Sport University*
天津体育学院
Top 250
*Special consideration for programmes in School of Sport, Exercise and Health Sciences and Institute for Sport Business only.
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licenciado / Título de [subject area]
4.5
3.75
3.2
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licenciado
9
8 or 80
7 or 75
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Baccalaureus / Prvostupnik
4.5
3.8
3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4-year Titulo de Licenciado / Licenciatura
5
4
3
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Cyprus
8.5
7.0
6.5
Czech Republic
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Bakalár (after 2001) 6 yr integrated Magistr
1
1.5
2
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
5 year Candidatus/Candidata Magisterii or Bachelor degree (7 point scale)
12
10
7
Dominican Republic
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4 year Licenciado or Título de [subject area]
3.8
Magna Cum Laude or 3.5 or 85%
Cum Laude or 3.2 or 82%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Título de Licenciado / Título de [subject area]
8.5 / 85%
8 / 80%
7 / 70%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Egypt
3.5
3.2
2.8
Universities only
BA 90%, BSc 85%
BA 80%, BSc 75%
BA 65%, BSc 65%
El Salvador
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
5 year Licenciado, Título de Ingeniero/Arquitecto
8.5, 85%
7.5, 75% or Muy Bueno
6.5, 65% or Bueno
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Bakalaureusekraad or Magister or Magistrikraad
5 or A
4 or B
3 or C
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Master's
A/GPA 4.0
A/GPA 3.5
B/GPA 2.8
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Kandidaattii/Kandidat or the Maisteri/Magister
3 (out of 3) or 4.5 (out of 5)
2 (out of 3) or 3 (out of 5)
1 (out of 3) or 2.5 (out of 5)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licence (3 years)/ Maitrise/ Diplôme d'Ingénieur
14
13
11
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4-year degree (% = new system)
5 (95%)
4.5 (85%)
4 (75%)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
German Bachelor/ Diplom, Magister Artium / Zeugnis über den Zweiten Abschnitt der Ärztlichen Prüfung
1.5
2.5
3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Ghana
First
Upper second/60%
Lower second/50%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Universities
8.5
7.0
6
TEI and non-University Institutions
8.5
7
6.5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Degree from University of West Indies - classification
1st
2:1
2:2
Degree from University of West Indies - grade / percentage
Licenciado / Título de Ingeniero / Título de Arquitecto
8.5
7
6.5
UCM grading
3.0
2.0
1.5
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4 year Professional degree or Bachelor Special or Honours degree
90%, GPA 3.70
80%, GPA 3.30
70%, GPA 3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4 year degree
1st, 70%, B+
2:1, 66%
mid 2:2, 60%, B
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Kandidatexamen or Magisterexamen
Overall grade of VG with a minimum of 120 credits at VG
B or Overall grade of VG with a minimum of 90 credits at VG
C or Overall grade of G with a minimum of 90 credits at G
Trinidad and Tobago
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
For degrees studied at The University of West Indies or degrees accredited by ACTT
1st or B+ or 70%
2:1 or B or 65%
2:2 or B- or 60%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licence, Maîtrise, Diplôme National d'Ingénieu
16 (tres bien)
14 (bien)
11 (assez bien)
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Lisans Diplomasi or a Műhendis Diplomasi
3.5
3
2.5
Turkmenistan
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
4 Yr Bakalavr, Specialist Diploma or Magistr
5
4.5
4
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Uganda
1st or 4.4
2:1 or 3.8
2:2 or 3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Dyplom Magistra or a Bachelors degree (11 / 5)
4.5
4.0
3.5
United Arab Emirates
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
GPA 4.0 scale
3.5
3.0
2.6
United States of America
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
GPA 4.0 scale
3.5
3.2
2.8
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licenciado (4 year)
10
9
8
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Bakalavr Diplomi / Diplomi (Specialist Diploma)
90% or GPA 4.5
80% or GPA 4.0
70% or GPA 3.0
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Licenciado/Professional title. (4 year)
18/20 or 8/9
16/20 or 7/9
14/20 or 6/9
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
10-point scale
8.0
7.0
6.0
4-point scale
3.5
3.0
2.8
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
Master's
A or 4.0 or 80%
B+, 3.5 or 70%
B or 3.0 or 60%
First-class honours (70%)
Upper second-class honours (60%)
Lower second-class honours (50%)
3/4 year degree
1st or 75%
2:1 or 65%
2:2 or 60%
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website .
Fees and funding
Fees for the 2024-25 academic year.
£13,000 Full-time degree per annum
International fee
£28,750 Full-time degree per annum
The fee stated is for a full-time student undertaking a master’s programme of 180 credits. Part-time students should divide the published fee by 180 credits and then multiply by the number of credits they are taking to calculate their tuition fees.
Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
Scholarships and bursaries
There are scholarships and bursaries available to help with funding your study.
10% off tuition fees
Loughborough University Alumni Bursary
90% off tuition fees
Global Excellence Scholarship
Up to 20% off tuition fees
Excellence Scholarship
Up to £10,000
Digital Student Scholarship
Your development
At Loughborough University London, you’ll get the strong grounding you need to move forward confidently along your chosen career path.
Look forward to plenty of opportunities to develop your skills, take part in career-focused activities and tap into all the support you need along the way. You’ll get to work on group projects set by real businesses and organisations, go on site visits and explore organisation-based dissertations as part of your course.
An impressive toolkit of skills
By the end of your master’s, you’ll have the skills and qualities to progress confidently in your cyber security or data analytics career.
By the end of the programme, you’ll be able to:
Investigate and respond to cyber security incidents, using best-practice processes.
Tackle the latest cyber security challenges faced by organisations, and secure remote work environments.
Apply data analytics to the Internet of Things and cloud systems to mitigate advanced cyber threats.
Develop advanced encryption methods to enhance data privacy.
Help organisations make data-driven decisions while complying with data regulations.
Your future career
With the digital world becoming increasingly complex, there’s an abundance of career opportunities for cyber security and data analytics specialists across all sectors.
The skills you’ll gain on this MSc will put you in a strong position for senior roles in security operational centres, antivirus software companies, AI start-ups, ecommerce and government – or any business or organisation that handles large volumes of sensitive and personal data.
Graduates of this course have taken their skills into wide-ranging roles including:
Cyber security analyst
Cryptographer
AI and data analyst
Application developer
Financial analyst
Big data analyst
Entrepreneur/ start-up founder
Project manager
Information security manager
IoT developer
Data visualisation specialist
Cloud solutions architect
Some of the employers they’re now working with include:
Studying 17ECA003 Data Analysis I at Loughborough University? On Studocu you will find 22 practice materials, tutorial work, coursework, lecture notes, summaries,
17ECA003
Studying 17ECA003 Data analysis 1 at Loughborough University? On Studocu you will find 43 lecture notes, practice materials, assignments, tutorial work, coursework,
20ECA003 Coursework
Coursework brief data analysis (20eca003) coursework this coursework accounts for of your final mark and the submission date and time will be announced soon
Data Science Degree
Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis. This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship.
Artificial Intelligence and Data Analytics
Gain a comprehensive understanding of data analytics and Artificial Intelligence with our Artificial Intelligence and Data Analytics MSc. Based in London.
Business Analytics
Our MSc Business Analytics will give you the modelling and consulting skills needed to understand, manage and communicate useful insights from big data.
Data Science
Course content Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.
Summary of 23ECP206
23ECP206 - Economics Data Analysis [ View the specification for this module] Module Leader: A Ferrari; Module Tutor: Alan French; Module Tutor: C Unver-Erbas; Skip Navigation. Navigation. Browse Modules. Browse by Programme. Skip Administration. Administration. Module administration. Activity results.
Data Science
Study Data Science at Loughborough University. Explore course details and what's involved. From start dates, entry requirements, university information and more.
Module Outline ECA003
The module outline loughborough university school of business and economics data analysis module codes: eca003 session: lecturers: dr cansu office: be.1.42
All modules
24EC07META - International Economic Relations. 24EC11META - Transport Economics. 24ECA001 - Principles of Macroeconomics. 24ECA002 - Principles of Microeconomics. 24ECA003 - Data Analysis. 24ECA004 - Quantitative Economics. 24ECA013 - Foundation Maths for Quantitative Economics. 24ECA501 - Introduction to Macroeconomics.
Business Analytics BSc (Hons) degree
The Loughborough BSc in Business Analytics gives you a thorough understanding of the opportunities and challenges brought by data-driven, evidence-based decision making in organisations and industries, and helps you understand how to integrate this specialist knowledge with general business and management skills.
All modules
Module Tutor: S Wilson. 24NTA201 - Statistics and Data Analysis. [ View the specification for this module ] Module Leader: H Lortie-Forgues. Module Tutor: A Patel. 24NTA301 - Mathematics for Problem Solving. [ View the specification for this module ] Module Leader: N B Janson. Module Tutor: P Roach.
Data Analyst Classes, Certification, Syllabus, Fees
The Data Analyst Certification Course will help you gain expertise in data collection, analysis and visualization to extract crucial insights. The six-month certification course helps you uncover opportunities in the data analyst field with interactive tutorials and more than 5+ industry-relevant projects.
Coursework assessment guidance
What is the student Timeline? Preparing for anonymous marking. Consistent coursework assignment names. Meta modules and assessment. Setting up offline, paper based and artefact submissions. Releasing marks and feedback for students. Student guidance. User Guides. User Guides: Introduction.
PDF IntroToSPSSNotes.dvi
This introduction concentrates on using SPSS for the exploratory phase of data analysis, then briefly discusses some commonly used statistical techniques, as follows: Page
NumPy with Pandas for More Efficient Data Analysis
We have tried to perform data preprocessing, data cleaning, statistical analysis, and vectorized operations with Pandas and NumPy. I hope it helps! Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media.
Google Data Analytics Professional Certificate
Google Data Analytics Professional Certificate Get on the fast track to a career in Data Analytics. In this certificate program, you'll learn in-demand skills at your own pace, no degree or experience required. Enroll today and get access to Google AI Essentials at no cost. Offer ends 11/30* Instructor: Google Career Certificates Top Instructor Enroll for Free Starts Aug 23 Financial aid ...
PDF FAQ for Data Science (part-time) How many modules will I take each
The part-time version of the MSc Data Science programme has been designed to allow students to take two modules per semester and it will provide additional time for students to study the taught material and to complete their assessments.
Search results
23DSP106 - Data Collection and Analysis [ View the specification for this module ]
Lough
Do you study at Loughborough University? On Studocu you will find over 5600 lecture notes, summaries and assignments from Lough, to help you pass your exams.
Computer Data Analysis
The course will equip students with the skills needed to use a spreadsheet and python programs. Topics include numerical and graphical summaries of data, hypothesis testing, confidence intervals, counts and tables, analysis of variance, regression, principal components, and cluster analysis.
Cyber Security and Data Analytics
Our Cyber Security and Data Analytics MSc programme in London provides students with the latest principles, practices, tools and techniques in security and data.
IMAGES
COMMENTS
Studying 17ECA003 Data Analysis I at Loughborough University? On Studocu you will find 22 practice materials, tutorial work, coursework, lecture notes, summaries,
Studying 17ECA003 Data analysis 1 at Loughborough University? On Studocu you will find 43 lecture notes, practice materials, assignments, tutorial work, coursework,
Coursework brief data analysis (20eca003) coursework this coursework accounts for of your final mark and the submission date and time will be announced soon
Programme content is focused not only on fundamental data science but also on design thinking and innovation, data governance, ethics and data analysis. This unique master's offers an excellent solution for graduates wishing to upskill to support their career aspirations in data science, pursuing roles in data analytics, management and stewardship.
Gain a comprehensive understanding of data analytics and Artificial Intelligence with our Artificial Intelligence and Data Analytics MSc. Based in London.
Our MSc Business Analytics will give you the modelling and consulting skills needed to understand, manage and communicate useful insights from big data.
Course content Our MSc conversion programme in Data Science offers an excellent solution for graduates from varying academic and professional backgrounds wanting to up skill for careers in data science, data analysis, data management or data stewardship.
23ECP206 - Economics Data Analysis [ View the specification for this module] Module Leader: A Ferrari; Module Tutor: Alan French; Module Tutor: C Unver-Erbas; Skip Navigation. Navigation. Browse Modules. Browse by Programme. Skip Administration. Administration. Module administration. Activity results.
Study Data Science at Loughborough University. Explore course details and what's involved. From start dates, entry requirements, university information and more.
The module outline loughborough university school of business and economics data analysis module codes: eca003 session: lecturers: dr cansu office: be.1.42
24EC07META - International Economic Relations. 24EC11META - Transport Economics. 24ECA001 - Principles of Macroeconomics. 24ECA002 - Principles of Microeconomics. 24ECA003 - Data Analysis. 24ECA004 - Quantitative Economics. 24ECA013 - Foundation Maths for Quantitative Economics. 24ECA501 - Introduction to Macroeconomics.
The Loughborough BSc in Business Analytics gives you a thorough understanding of the opportunities and challenges brought by data-driven, evidence-based decision making in organisations and industries, and helps you understand how to integrate this specialist knowledge with general business and management skills.
Module Tutor: S Wilson. 24NTA201 - Statistics and Data Analysis. [ View the specification for this module ] Module Leader: H Lortie-Forgues. Module Tutor: A Patel. 24NTA301 - Mathematics for Problem Solving. [ View the specification for this module ] Module Leader: N B Janson. Module Tutor: P Roach.
The Data Analyst Certification Course will help you gain expertise in data collection, analysis and visualization to extract crucial insights. The six-month certification course helps you uncover opportunities in the data analyst field with interactive tutorials and more than 5+ industry-relevant projects.
What is the student Timeline? Preparing for anonymous marking. Consistent coursework assignment names. Meta modules and assessment. Setting up offline, paper based and artefact submissions. Releasing marks and feedback for students. Student guidance. User Guides. User Guides: Introduction.
This introduction concentrates on using SPSS for the exploratory phase of data analysis, then briefly discusses some commonly used statistical techniques, as follows: Page
We have tried to perform data preprocessing, data cleaning, statistical analysis, and vectorized operations with Pandas and NumPy. I hope it helps! Cornellius Yudha Wijaya is a data science assistant manager and data writer. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media.
Google Data Analytics Professional Certificate Get on the fast track to a career in Data Analytics. In this certificate program, you'll learn in-demand skills at your own pace, no degree or experience required. Enroll today and get access to Google AI Essentials at no cost. Offer ends 11/30* Instructor: Google Career Certificates Top Instructor Enroll for Free Starts Aug 23 Financial aid ...
The part-time version of the MSc Data Science programme has been designed to allow students to take two modules per semester and it will provide additional time for students to study the taught material and to complete their assessments.
23DSP106 - Data Collection and Analysis [ View the specification for this module ]
Do you study at Loughborough University? On Studocu you will find over 5600 lecture notes, summaries and assignments from Lough, to help you pass your exams.
The course will equip students with the skills needed to use a spreadsheet and python programs. Topics include numerical and graphical summaries of data, hypothesis testing, confidence intervals, counts and tables, analysis of variance, regression, principal components, and cluster analysis.
Our Cyber Security and Data Analytics MSc programme in London provides students with the latest principles, practices, tools and techniques in security and data.