MSc DATA SCIENCE

UK Fees

£10490.00

Int. Fees

£16900.00

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Overview

This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community.

Data science is at the intersection of the fields of computer science, statistics, and design. In a rapidly evolving world, new types of big data are emerging from mobile devices, sensors, instruments, transactional systems, web logs, social media, the cloud and other sources. Businesses are accumulating big data at a rate that often exceeds their capacity to extract value from it.

MSc Data Science is ideally placed to provide you with technical knowledge and employer-focused skills required in a data scientist role. The course will develop your specialist knowledge of data acquisition, data cleansing, data analysis, information extraction, prediction, visualization, story-telling and explanation.

You'll gain hands-on experience using industry standard tools for data science,  business intelligence and analytics including SAS, Tableau MS SQL Server, Oracle Database, and R Programming.

Mode Duration Start date Application code Application method
ModeFull-time Duration1 year Start dateSeptember Application code4940 Application method Direct to LSBU
ModePart-time Duration2 years Start dateSeptember Application code5084 Application method Direct to LSBU
ModePart-time (BLOCK) Duration2 years Start dateSeptember Application code5086 Application method Direct to LSBU
ModeFull-time Duration18 months Start dateJanuary Application code5619 Application method Direct to LSBU

Location

London South Bank University student union is located at 103 Borough Rd, London SE1 0AA.

If you are visiting our Southwark Campus, you may wish to use our downloadable campus map (PNG File 466 KB). For information on accessibility, see our DisabledGo access guides.

Walk or bicycle

The University is in easy walking distance of underground and leading overground stations. We are only 20 minutes away from the Thames. We encourage walking and cycling and have bicycle racks on campus. Please check the Transport for London cycling website for London cycling maps and route planners.

By bus

LSBU is very well connected, and a large number of buses travel to and connect in the Elephant and Castle area from across London.

By train or tube

The Bakerloo and Northern lines stop at Elephant & Castle underground station, which is right next to campus. The closest rail stations are Elephant & Castle, London Waterloo and London Bridge. To plan your train journey, visit the National Rail website.

By car

London South Bank University does not provide public parking space. There is a limited amount of parking in the area, so we strongly advise using public transport.

Do consider the Congestion Charge if you are driving through London to reach the campus. Find out if you'll be crossing the Congestion Charge zone to reach our Southwark Campus.

TfL journey planner

You can travel to Southwark Campus by using public transport, plan your journey using the Transport for London journey planner.

Entry Level Requirements

  • 2:2 UK honours first degree or   international equivalent in a relevant Computing/Mathematical/Statistical subject; or
  • A Higher National Diploma in a relevant   subject and a minimum of three years relevant professional experience; or
  • We recognise that many people have a wealth   of valuable skills and knowledge they've developed at work or through   training. If candidates have the potential to succeed in postgraduate or   post-experience studies we'll consider their application on its individual merit. Applications may be considered where candidates demonstrate a   combination of educational qualifications and work experience.
  • For all applicants experience of   Computing/Programming will be sought.
  • We welcome qualifications from around the world. English language qualifications for international students: IELTS score of 6.5.

Choose your country

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United Kingdom

£10490.00

Tuition fees for home students

International

£16900.00

Tuition fees for international students

Tuition fees are subject to annual inflationary increases. Find out more about tuition fees

  • Part-time

    part-time

    MSc Data Science (PT) - Year 1

    The fee shown is for entry 2023/24
    UK fee: £4662.22 International fee: £7511.11
    AOS/LSBU code: 5084 Session code: 1PS00
    Total course fee:
    UK: £10490.00
    International: £16900.00

    MSc Data Science (BLOCK) (PT) - Year 1

    The fee shown is for entry 2023/24
    UK fee: £3496.67 International fee: £5633.33
    AOS/LSBU code: 5086 Session code: 1PS00
    Total course fee:
    UK: £10490.00
    International: £16900.00

    MSc Data Science (PT) - Year 2

    The fee shown is for entry 2023/24
    UK fee: £5827.78 International fee: £9388.89
    AOS/LSBU code: 5084 Session code: 2PS00
    Total course fee:
    UK: £10490.00
    International: £16900.00

    MSc Data Science (BLOCK) (PT) - Year 2

    The fee shown is for entry 2023/24
    UK fee: £6993.33 International fee: £11266.67
    AOS/LSBU code: 5086 Session code: 2PS00
    Total course fee:
    UK: £10490.00
    International: £16900.00

  • Full-time

    full-time

    MSc Data Science (FT) - Year 1

    The fee shown is for entry 2023/24
    UK fee: £10490.00 International fee: £16900.00
    AOS/LSBU code: 4940 Session code: 1FS00
    Total course fee:
    UK: £10490.00
    International: £16900.00

    MSc Data Science (FT) (JAN) - Year 1

    The fee shown is for entry 2023/24
    UK fee: £ International fee: £
    AOS/LSBU code: 5619 Session code: 1FS00
    Total course fee:
    UK: £10180.00
    International: £15400.00

For more information, including how and when to pay, see our fees and funding section for postgraduate students.

See our Tuition Fees Regulations (PDF File 391 KB) and Refund Policy (PDF File 775 KB).

Possible fee changes

The University reserves the right to increase its fees in line with changes to legislation, regulation and any government guidance or decisions.

The fees for international students are reviewed annually and the University reserves the right to increase the tuition fees in line with the RPIX measure of inflation up to 4 per cent.

Postgraduate loan (PGL) for Masters study

If you are starting a Masters course, studying either full- or part-time, you may be entitled to apply for a postgraduate study loan. Find out more at our postgraduate fees and funding section.

Scholarships

We offer several types of fee reduction through our scholarships and bursaries. Find the full list and other useful information on funding your studies on the scholarships and fee discounts page.

Fee status

Please check your fee status and whether you are considered a Home, EU or International student for fee-paying purposes and for our regulatory returns, by reading the UKCISA regulations.

Home/EU applicants

Mode Duration Start date Application code Application method
Mode Full-time Duration 1 year Start date September Application code 4940 Application method Direct to LSBU
Mode Part-time Duration 2 years Start date September Application code 5084 Application method Direct to LSBU
Mode Part-time (BLOCK) Duration 2 years Start date September Application code 5086 Application method Direct to LSBU
Mode Full-time Duration 18 months Start date January Application code 5619 Application method Direct to LSBU

Postgraduate students and research students should apply through our dedicated application system. Full details of how to do this are supplied on our How to apply section for postgraduate students and our How to apply section for research students.

See our admissions policy (PDF File 1,043 KB) and complaints policy (PDF File 516 KB).

Accommodation

Students should apply for accommodation at London South Bank University (LSBU) as soon as possible, once we have made an offer of a place on one of our academic courses. Read more about applying for accommodation at LSBU.

Finance

It's a good idea to think about how you'll pay university tuition and maintenance costs while you're still applying for a place to study. Remember – you don't need to wait for a confirmed place on a course to start applying for student finance. Read how to pay your fees as a postgraduate student.

Postgraduate Application Service

Book a session with one of our specialist Postgraduate Advisors. Over a one on one Advice Session they'll advise you on postgraduate degrees at LSBU that match your interests and experience.

Prepare to start

We help our students prepare for university even before the semester starts. To find out when you should apply for your LSBU accommodation or student finance read the How to apply tab for this course.

Enrolment

Before you start your course we’ll send you information on what you’ll need to do before you arrive and during your first few days on campus. You can read about the process on our Enrolment pages.

  • Research methods
    This module presents research methodology. It covers different techniques  such as inductive and deductive reasoning and prediction. You’ll evaluate the legal and ethical issues on practice within typical information professions.
  • Future internet technologies
    Future internet technologies comprise of a set of enablers to deal with limitations of the existing internet. This includes (but is not limited to)  the evolution towards 4G+/5G networking architectures. The module may present the work driven by major research projects in Europe and USA (e.g. FIRE, GENI).
  • Statistical analysis and modelling
    This module develops your understanding of essential scientific principles for the study of statistics and modelling as applied to analytical computer science and software engineering.
  • Machine learning
    This module focuses on the development of computer programs that can teach themselves to grow and change when exposed to new data. Using industry standard software (e.g. SAS) you'll learn how to apply algorithms that iteratively learn from data. You'll also learn to evaluate and apply machine learning techniques that allow computers to find hidden insights from big data without being explicitly programmed where to look.
  • Data mining and analysis
    This module teaches the techniques and technologies applicable to the field of data mining including association techniques, sequence or path analysis, classification, clustering and forecasting. The module is supported using industry standard software (e.g. SAS, Tableau) for building dashboards, applying algorithms and applying  analytic techniques to structured and unstructured big data from social media, the cloud and other sources. 
  • MSc thesis
    This module will see you undertake a substantial, independent research project synthesizing knowledge and skills from the various disciplines on the taught course. You'll have the flexibility to select a subject of your choice to analyse and respond to.

All modules are assessed by a mix of coursework and examinations.

Careers

Employability Service

We are University of the Year for Graduate Employment for the second year in a row - The Times and Sunday Times Good University Guide 2018, 2019.

At LSBU, we want to set you up for a successful career. During your studies – and for two years after you graduate – you’ll have access to our Employability Service, which includes:

  • An online board where you can see a wide range of placements: part-time, full-time or voluntary. You can also drop in to see our Job Shop advisers, who are always available to help you take the next step in your search.
  • Our Careers Gym offering group workshops on CVs, interview techniques and finding work experience, as well as regular presentations from employers across a range of sectors.

Our Student Enterprise team can also help you start your own business and develop valuable entrepreneurial skills.

Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

Recent guest lecturers include Tom Gilb, author and expert in agile project management, Tony Baker from IBM and Chris Miller from Dell.

In order to ensure the course runs in accordance with industry recognised standards we are seeking accreditation for both Chartered Engineer (CEng) status as well as Chartered IT Professional (CITP) accreditation by the British Computer Society, the Chartered Institute for Information Technology.

We are also seeking Chartered Engineer (CEng) status with both the Institute of Engineering and Technology and the Engineering Council.

Teaching and Assessment

Subject-related and generic resources available

Students will have access to approximately 200 PCs in 10 teaching computer labs, running under Windows or Linux. The installed software includes the typical MS Office suite, and a range of programming languages and IDEs.  A cyber security lab is used for specialised modules, and 3 labs sport state-of-the-art workstation with GPUs for running machine learning and deep learning models. A new lab with 90 high specs GPU-enabled workstations will be setup at the beginning of 2023 in the Perry building

Generic resources include:

  • Perry library - provides access to traditional books, journal sources, PCs to use and   laptops to borrow. The Perry Library is open throughout the week, and during   the term are staffed from 08.30 until 21.00 from Monday – Thursday, and 10.30   to 16.20 at weekends. There is seating capacity for 600 students in the   library and the book-stock is in excess of 600,000 volumes. The building   provides wireless access.
  • The   Students' Support Centre - provides a first stop service for students on   academic, personal and financial matters. It is aimed at improving student   experience and offers LSBU’s best employability, development and student services.   The center also offers home to our Students’ Union.
  • Fitness   - there is also a sports hall, fitness suite and gymnasium
  • Catering   - there is a large refectory, with a selection of   smaller cafes and eating outlets on campus.

Learning support

Subject-related and generic resources available

Students will have access to approximately 200 PCs in 10 teaching computer labs, running under Windows or Linux. The installed software includes the typical MS Office suite, and a range of programming languages and IDEs.  A cyber security lab is used for specialised modules, and 3 labs sport state-of-the-art workstation with GPUs for running machine learning and deep learning models. A new lab with 90 high specs GPU-enabled workstations will be setup at the beginning of 2023 in the Perry building.

Generic resources include:
*Perry library - provides access to traditional books, journal sources, PCs to use and laptops to borrow. The Perry Library is open throughout the week, and during the term are staffed from 08.30 until 21.00 from Monday – Thursday, and 10.30 to 16.20 at weekends. There is seating capacity for 600 students in the library and the book-stock is in excess of 600,000 volumes. The building provides wireless access.
*The Students' Support Centre - provides a first stop service for students on academic, personal and financial matters. It is aimed at improving student experience and offers LSBU’s best employability, development and student services. The center also offers home to our Students’ Union.
*Fitness - there is also a sports hall, fitness suite and gymnasium
*Catering - there is a large refectory, with a selection of smaller cafes and eating outlets on campus.


We support students throughout their course in many different ways, such as:

  • personal tutoring
  • support sessions on core math's & programming skills taking place weekly
  • peer student led support sessions
  • practical skills workshops
  • labs equipped with the latest hardware and software
  • lectures, seminars, personal tuition
  • online learning materials
  • varied assessment methods
  • advice on work experience and career options
  • opportunities for internships, work placements and projects with employers
  • tailored field trips
  • training in research methods and assistance with independent research projects.

People profiles

Contact information

Course Enquiries - UK

Tel: 0207 815 7500

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