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Postgraduate

MSc Information Technology with Data Analytics

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.
Apply Now
Download Prospectus
Postgraduate

MSc Information Technology with Data Analytics

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.
Apply Now
Download Prospectus

Award

MSc

Duration

One year

Study mode

Full-time

Tuition fees

UK Fees: £12,350
International and EU Fees: £16,275

Starting dates

September, January, May

School

Computing, Engineering and Physical Sciences

Award

MSc

Duration

One year

Study mode

Full-time

Tuition fees

UK Fees: £12,350
International and EU Fees: £16,275

Starting dates

September, January, May

School

Computing, Engineering and Physical Sciences

Course Menu

Introduction

Course overview

MSc Information Technology with Data Analytics is designed for graduates from non-technical backgrounds who want to develop practical knowledge of information technology and data analytics.

Whether your previous degree is in business, humanities, social sciences or another non-technical subject, this course provides a route into the technology sector. No previous IT or computing experience is required.

You’ll build a foundation in information systems, databases and networking before progressing to specialist modules in data analytics. You’ll learn how organisations collect, analyse and interpret data to support decision-making, improve performance and identify opportunities for growth.

During the course, you’ll:

  • Build a foundation in information systems, databases and networking
  • Learn how organisations use data to support business decisions
  • Explore data analysis, visualisation and business intelligence techniques
  • Develop practical, analytical and problem-solving skills through applied learning
  • Complete a master’s project focused on a real-world data analytics challenge

The course is designed to develop knowledge and skills that may be relevant to a wide range of technology and data-focused careers.

Programme Information

Course structure

To achieve an MSc Information Technology with Data Analytics, you’ll study 180 credits, including 120 credits of taught modules and a 60-credit master’s project.

Core modules

  • Business Data Communication and Networks 20 credits
    Develop an understanding of computer networks, internet communications and the technologies that support the transfer of information across modern digital systems.
  • Database Design and Implementation 20 credits
    Learn how to design, build and manage databases that help organisations store, organise and use data effectively.
  • Information Systems Analysis and Design 20 credits
    Explore how information systems are planned, analysed and developed to meet organisational needs and support business operations.
  • MSc Masters Pathway Project 60 credits
    Complete an independent project within the field of data analytics. You’ll apply the knowledge and skills developed throughout the course to investigate and address a real-world business or technology challenge.

Data analytics pathway modules

  • Data Analysis and Visualisation 20 credits
    Learn how to analyse, interpret and present data using techniques that help organisations identify trends, communicate insights and support decision-making.
  • Data Mining and Business Intelligence 20 credits
    Explore methods used to identify patterns within large datasets and discover how business intelligence tools support planning, forecasting and organisational performance.

Optional module

Students will normally choose one of the following modules:

  • Interactive Software Design 20 credits
    Learn how to design user-focused software applications with an emphasis on usability, accessibility and user experience.
  • Work Based Learning 20 credits
    Apply your knowledge and skills within a professional environment through a structured project linked to industry practice.

Teaching and assessment

Teaching is delivered through a combination of:

  • Lectures
  • Tutorials
  • Workshops
  • Case studies
  • Individual and group activities
  • Independent study

You’ll have access to a range of learning materials, resources and assessment guidance throughout your studies.

The course uses a blend of face-to-face teaching and online learning activities. Small group tutorials and practical exercises help you apply your learning to real-world information technology challenges and develop professional skills that are valued by employers.

Assessment

Assessment methods vary between modules and may include:

  • Coursework
  • Practical assignments
  • Case study analysis
  • Individual and group projects
  • Class tests
  • Presentations
  • Written reports
  • Examinations

The course concludes with a master’s project, allowing you to apply the knowledge and skills developed throughout your studies to investigate and address a real-world information technology challenge.

Admissions

Entry requirements

Academic entry requirements

We welcome applications from UK and international students.

You should normally hold a UK honours degree (2:2 or above), or an equivalent international qualification, in a non-IT subject from a recognised institution.

This course is designed for graduates from non-technical backgrounds.

We may also consider:

  • Applicants with an ordinary degree on an individual basis.
  • Applicants with relevant academic, vocational or professional qualifications.
  • Applicants with relevant industry experience.

Candidates may be invited to attend an interview as part of the admissions process.

If your qualification is not listed, please contact an Admissions adviser for guidance on your eligibility to apply.

English language requirements

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 of 6.0
  • No component below 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 component below 169
  • CPE (Cambridge Certificate of Proficiency in English): 176 overall; no component below 169
  • Trinity College London Integrated Skills in English: ISE II with a Pass in all components
  • PTE Pearson Academic English: An overall score of 59 to 64 with no component below 59 (for programmes that require IELTS 6.0 with no component below 5.5).
  • TOEFL iBT: 78; no component below 17: Reading: 17; Listening: 17; Speaking: 17; Writing: 17
  • Skills for English (SELT): Overall 6, minimum 5.5 in all skills.

For applicants from certain countries who do not meet the minimum English language requirements outlined above, there may be an option to apply for an online pre-sessional English language programme.

For detailed information on English language entry requirements for international students, including accepted alternative qualifications and possible exemptions, please visit our English language requirements page.

Tuition Fees and Scholarships

Fees and funding

UK Students

£12,350
per year (2026/27)

Student loans and payment plans available

International and EU

£16,275
per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.
  • Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
  • Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
    No early payment discount will apply. For further information, please contact an Admissions adviser.
What could my future career look like?

Career prospects

Data analytics skills are used across a wide range of industries, including finance, healthcare, retail, government, technology and professional services.

This course is designed to develop technical, analytical and problem-solving skills that may be relevant to a variety of data-focused and technology-related roles.

Examples of roles that use these skills include:

  • Data analyst
  • Business intelligence analyst
  • Analytics consultant
  • Business analyst
  • Data visualisation specialist
  • Information technology analyst
  • Digital transformation specialist
  • Data consultant
  • Insights analyst

The knowledge and skills developed during the course may also support progression to professional certifications and further academic study, including research degrees.

Course Leader

Dr Volkan Tunali
MSc Information Technology with Data Analytics
Support

Frequently asked questions

This course is suitable for graduates and professionals looking to develop advanced knowledge, improve career prospects or specialise in a particular subject area.

Applicants are normally expected to hold an undergraduate degree or equivalent qualification. Some courses may also consider relevant professional experience.

Yes, UWS London welcomes postgraduate students from across the world and provides support with applications, enrolment and settling into student life in London.

Most postgraduate taught courses can be completed in one year when studied full-time, although course lengths may vary depending on the programme.

Students can access academic guidance, careers support, wellbeing services and additional student support throughout their time at UWS London.

Introduction

Course overview

MSc Information Technology with Data Analytics is designed for graduates from non-technical backgrounds who want to develop practical knowledge of information technology and data analytics.

Whether your previous degree is in business, humanities, social sciences or another non-technical subject, this course provides a route into the technology sector. No previous IT or computing experience is required.

You’ll build a foundation in information systems, databases and networking before progressing to specialist modules in data analytics. You’ll learn how organisations collect, analyse and interpret data to support decision-making, improve performance and identify opportunities for growth.

During the course, you’ll:

  • Build a foundation in information systems, databases and networking
  • Learn how organisations use data to support business decisions
  • Explore data analysis, visualisation and business intelligence techniques
  • Develop practical, analytical and problem-solving skills through applied learning
  • Complete a master’s project focused on a real-world data analytics challenge

The course is designed to develop knowledge and skills that may be relevant to a wide range of technology and data-focused careers.

Programme Information

Course structure

To achieve an MSc Information Technology with Data Analytics, you’ll study 180 credits, including 120 credits of taught modules and a 60-credit master’s project.

Core modules

  • Business Data Communication and Networks 20 credits
    Develop an understanding of computer networks, internet communications and the technologies that support the transfer of information across modern digital systems.
  • Database Design and Implementation 20 credits
    Learn how to design, build and manage databases that help organisations store, organise and use data effectively.
  • Information Systems Analysis and Design 20 credits
    Explore how information systems are planned, analysed and developed to meet organisational needs and support business operations.
  • MSc Masters Pathway Project 60 credits
    Complete an independent project within the field of data analytics. You’ll apply the knowledge and skills developed throughout the course to investigate and address a real-world business or technology challenge.

Data analytics pathway modules

  • Data Analysis and Visualisation 20 credits
    Learn how to analyse, interpret and present data using techniques that help organisations identify trends, communicate insights and support decision-making.
  • Data Mining and Business Intelligence 20 credits
    Explore methods used to identify patterns within large datasets and discover how business intelligence tools support planning, forecasting and organisational performance.

Optional module

Students will normally choose one of the following modules:

  • Interactive Software Design 20 credits
    Learn how to design user-focused software applications with an emphasis on usability, accessibility and user experience.
  • Work Based Learning 20 credits
    Apply your knowledge and skills within a professional environment through a structured project linked to industry practice.

Teaching and assessment

Teaching is delivered through a combination of:

  • Lectures
  • Tutorials
  • Workshops
  • Case studies
  • Individual and group activities
  • Independent study

You’ll have access to a range of learning materials, resources and assessment guidance throughout your studies.

The course uses a blend of face-to-face teaching and online learning activities. Small group tutorials and practical exercises help you apply your learning to real-world information technology challenges and develop professional skills that are valued by employers.

Assessment

Assessment methods vary between modules and may include:

  • Coursework
  • Practical assignments
  • Case study analysis
  • Individual and group projects
  • Class tests
  • Presentations
  • Written reports
  • Examinations

The course concludes with a master’s project, allowing you to apply the knowledge and skills developed throughout your studies to investigate and address a real-world information technology challenge.

Admissions

Entry requirements

Academic entry requirements

We welcome applications from UK and international students.

You should normally hold a UK honours degree (2:2 or above), or an equivalent international qualification, in a non-IT subject from a recognised institution.

This course is designed for graduates from non-technical backgrounds.

We may also consider:

  • Applicants with an ordinary degree on an individual basis.
  • Applicants with relevant academic, vocational or professional qualifications.
  • Applicants with relevant industry experience.

Candidates may be invited to attend an interview as part of the admissions process.

If your qualification is not listed, please contact an Admissions adviser for guidance on your eligibility to apply.

English language requirements

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 of 6.0
  • No component below 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 component below 169
  • CPE (Cambridge Certificate of Proficiency in English): 176 overall; no component below 169
  • Trinity College London Integrated Skills in English: ISE II with a Pass in all components
  • PTE Pearson Academic English: An overall score of 59 to 64 with no component below 59 (for programmes that require IELTS 6.0 with no component below 5.5).
  • TOEFL iBT: 78; no component below 17: Reading: 17; Listening: 17; Speaking: 17; Writing: 17
  • Skills for English (SELT): Overall 6, minimum 5.5 in all skills.

For applicants from certain countries who do not meet the minimum English language requirements outlined above, there may be an option to apply for an online pre-sessional English language programme.

For detailed information on English language entry requirements for international students, including accepted alternative qualifications and possible exemptions, please visit our English language requirements page.

Tuition Fees and Scholarships

Fees and funding

UK Students

£12,350
per year (2026/27)

Student loans and payment plans available

International and EU

£16,275
per year (2026/27)

Payment plans available

International scholarships available

Eligible international students can receive a £3,275 scholarship towards their tuition fees for the September 2026 intake.
  • Option 1: To secure your place at the University, 75% of your tuition fees must be paid before your CAS is issued. The remaining 25% must be paid before the start of your second term.
  • Option 2: Students applying from certain countries may be required to pay 100% of their tuition fees upfront and in full before enrolment.
    No early payment discount will apply. For further information, please contact an Admissions adviser.
What could my future career look like?

Career prospects

Data analytics skills are used across a wide range of industries, including finance, healthcare, retail, government, technology and professional services.

This course is designed to develop technical, analytical and problem-solving skills that may be relevant to a variety of data-focused and technology-related roles.

Examples of roles that use these skills include:

  • Data analyst
  • Business intelligence analyst
  • Analytics consultant
  • Business analyst
  • Data visualisation specialist
  • Information technology analyst
  • Digital transformation specialist
  • Data consultant
  • Insights analyst

The knowledge and skills developed during the course may also support progression to professional certifications and further academic study, including research degrees.

Ready to apply?

Start your application today and take the first step towards an exciting career.

Apply Now
Book a Call
Key dates
Final enquiry deadline

Tuesday 30 June

Course start date

Monday 7 September

Need help?

Our admissions team is here to answer any questions you may have.

Enquire
Download
Prospectus
full course specification
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