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MSc Information Technology with Data Analytics

University of the West of Scotland, London, United Kingdom
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Course Overview

Teaching & Assessment

Learning and Teaching (approximate):

  • Scheduled learning – 20%

  • Independent study – 80%

Assessment (approximate):

  • Practical – 60%

  • Coursework – 40%

Assessment Methods:

  • Oral presentations

  • Written reports

  • Coursework

  • Academic posters

  • Laboratory reports

  • Log books

  • Laboratory exercises

  • Essays

  • Scientific papers

  • Case studies

  • Literature reviews

  • Research proposals

  • Posters

  • Viva voces

Why You Should Study This Course

This is a specialised master’s degree that focuses on the intersection between the fields of information technology and data analytics, teaching students the skills and knowledge to analyse and interpret large volumes of data using IT tools and techniques. Living in an increasingly data-driven world, graduates of this degree will be in high demand across various industries and in many companies. You will learn about the different aspects of information technology, as well as gaining expertise in data analytics by extracting meaningful insights and patterns from data sets to support decision-making processes and solve complex problems.

Why study MSc Information Technology with Data Analytics at UWS London?

Learn from experts
Our inspiring team and esteemed guest lecturers bring a wealth of knowledge and global experience garnered from their extensive careers in both UK-based enterprises and across international markets.

Immerse yourself in the world’s capital
Live and study in London; one of the leading cultural, financial and cosmopolitan capitals of the world.

Build your network
Our alumni network spans across more than 100 nationalities, offering a dynamic platform for connections that can drive your career forward. 

Exceptional career prospects
London is a global economic hub, which means there are abundant opportunities for professionals with various skill sets and backgrounds. UWS London careers department will help you to navigate the graduate job market during your studies and up to 2 years after you graduate.

General Eligibility

You should hold an honours degree or equivalent (minimum 2:2 classification) or a bachelor’s degree with significant and relevant work experience. You will normally be expected to have at least one of the following:

  • A degree awarded by an appropriate institution

  • A postgraduate award (passed at an appropriate level)

  • An appropriate professional qualification such as those from ACCA or CIMA

  • Passed a Pre Master’s programme at relevant level

  • Relevant work or professional experience

Where candidates do not meet the standard entry requirement, they must demonstrate that they have sufficient relevant professional or practice-based experience to undertake their chosen programme of study. They may be admitted to the programme at the discretion of the programme Admissions Officer/Programme Leader.

Part Time Work Details

20 hours work permit for international students

What You'll Study

1 Modules

This course consists of a combination of core and specialisation-option modules:

Core Modules (students must complete the following four modules):

  • Business Data Communication and Networks (20 credits)

  • Database Design and Implementation for Business (20 credits)

  • Information Systems Analysis and Design (20 credits)

  • Masters Project (60 credits)

Specialist Pathway Modules (students must complete the following two pathway modules):

  • Data Analysis and Visualisation (20 credits)

  • Data Mining and Business Intelligence (20 credits)

Recommended Optional Modules

  • IT Strategy and Management (20 credits)

  • Object Orientated Programming (20 credits)

  • Work Based Learning* (20 credits)

* To be eligible to undertake this module, it is expected that a student would already be in the workplace and a tripartite agreement would exist between the company, student, and University prior to enrolment.

Successful completion of the PgDip will allow you to proceed to the MSc Dissertation module, entailing detailed research and critical analysis of a specific project:

  • MSc Dissertation (60 Credits)

Language Requirement

For applicants whose first language is not English, the University sets a minimum English language proficiency level. The qualifications below must have been gained within two years of the start of your course.

General English language requirements at UWS: International English Language Testing System (IELTS) Academic module (not General Training):

  • Overall score 6.0

  • No sub-test less than 5.5

Common equivalent English language qualifications

All stated English tests are acceptable for admission for both home/EU and international students for this programme:

  • CAE (Cambridge Certificate of Advanced English): 176 overall; no sub-test less than 169

  • CPE (Cambridge Certificate of Proficiency in English): 176 overall; no sub-test less than 169

  • Trinity College London Integrated Skills in English: ISEII with the minimum of a Pass in all sub-tests

  • PTE Pearson Academic English: An overall score of 59 to 64 with no element below 59 (for programmes that require IELTS 6.0 with no element below 5.5). An overall score 65 to 75 with no element below 65 (for programmes that require IELTS 6.5 with no element below 6.0)

For further information on English Language qualifications accepted click here.

For applicants who do not meet the minimum English language requirements above, there is an option to apply for the pre-sessional English language programme combined with chosen degree programme.

Additional Information

Who is this course for?

Students who have a degree in a subject other than IT or computing and are wanting to develop much sought-after business-relevant IT knowledge and skills alongside specialist knowledge of project management

Why study Information Technology with Data Analytics?

A degree in MSc Information Technology with Data Analytics can help:

  • To develop your familiarity with mathematical, statistical and computational data modelling techniques

  • To gain experience in carrying out data analysis, communicating and critically commenting on the results

Where will this course take me?

Upon completion, graduates of this course can get jobs as a Market Research Analyst, Business Analyst, Business Intelligence Analyst, Operations Research Analyst, or Intelligence Analyst, As well as local authorities, public organisations and SME’s, those graduating with this degree have careers at various companies such as Amazon, Adobe Systems, IBM, Dell, Morgan Stanley, just to name a few. Successful completion of the programme enables progression to research-based academic courses.

Ready to get started?

For any enquiries or further details, please don't hesitate to contact us. Let's take the next step in your academic journey together.

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