12 months
Duration
19280 GBP/year
10440 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science and Analytics MSc programme at Brunel University London provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. 

Visit the official programme website for more information

Overview

From social networks, ecommerce and government through to sensors, smart meters and mobile networks, data is being collected at an unprecedented speed and scale. But big data is of little use without 'big insight'. The skills required to develop such insight are in short supply and the shortage of skilled workers in the data analytics market is cited as a key barrier to unlocking everything that data has to offer.

You’ll gain knowledge of key concepts and the nuances of effective data analysis. You’ll gain confidence in your own critical understanding of the challenges and issues arising from taking heterogeneous data at volume and scale, understanding what it represents, and turning that understanding into insight for business, scientific or social innovation. You’ll develop a practical understanding of the skills, tools and techniques necessary for the effective application of data science.

The course is run in conjunction with SAS, a market leader in business analytics software and services, and the largest independent vendor in the business intelligence market.

Careers and your future

Your MSc in Data Science and Analytics from Brunel University London will equip you to work in leading data science organisations.

Companies seeking to employ our data science graduates include Accenture, AstraZeneca, AXA Insurance, British Airways, Capgemini, Experian, FICO, GE Healthcare, HSBC, nPower, Orange, PayPal, Sopra and Waitrose.

Programme Structure

Courses included:
  • Digital Innovation
  • Quantitative Data Analysis
  • High Performance Computational Infrastructures
  • Systems Project Management
  • Big Data Analytics
  • Data Management and Business Intelligence
  • Data Visualisation
  • Learning Development Project
  • Dissertation

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months
    • Flexible

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Lower Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
92
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
58

Other requirements

General requirements

  • A 2:2 or above UK Honours degree or equivalent internationally recognised qualification from a scientific, engineering, or a numerate subject.
  • Applicants with other qualifications and industrial experience (relevant to the subject area) may be considered, and will assessed on an individual basis. Industrial certifications may be taken into account (those provided by organisations such as Microsoft and Sun). Such applicants may be required to attend an interview.

Tuition Fee

  • International

    19280 GBP/year
    Tuition Fee
    Based on the original amount of 19280 GBP per year and a duration of 12 months.
  • EU/EEA

    10440 GBP/year
    Tuition Fee
    Based on the original amount of 10440 GBP per year and a duration of 12 months.
  • UK/EU students: £5,220 part-time
  • International students: £9,640 part-time

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science and Analytics
-
Brunel University London

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