MSc in Data Science and Analytics

Brunel University London, United Kingdom

msc-in-data-science-and-analytics

Next enrollment cycle

September 2022

See all cycles

Total Course Fee

USD 27,201

Course Accredited By

NA

  • 1 Years
  • On Campus
  • Postgraduate
  • Degree
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.
  • The Data Science and Analytics MSc programme provides these skills, combining a strong academic degree course with hands-on experience of leading commercial technology, and the chance to gain industry certification. You will develop both your critical awareness of the very latest developments in data science and the practical skills that help you apply data science more effectively in a wide variety of sectors including finance, retail and government.
  • 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 designed to offer you the opportunity to gain hands-on experience in several data analytics tools (e.g. Hadoop, Spark, Tableau), programming languages (R, Python) and machine learning libraries.
  • A series of sessions in Python is offered to support students who are less familiar with programming.
  • You will also have the opportunity to obtain an SAS certificate such as SAS Base Programming, which is a recognised industry qualification, following a two-week SAS certification ‘boot camp’.
  • If you don’t want to commit to full or part-time study of the entire MSc, you can develop your educational portfolio over a longer period of time by undertaking staged study that leads to the award of Postgraduate Certificate (PGCert in Data Science), Postgraduate Diploma (PGDip in Data Science and Analytics) and Data Science and Analytics MSc in separate stages.
  • The roles that our graduates are typically recruited to within these organisations include analytics consultant, big data engineer/scientist, business analyst, clinical data scientist, data design specialist, data scientists, developer/development engineer, enterprise/technical architect, forecast analyst, marketing/customer and/or insight analyst, quantitative analyst and web analyst.
  • Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Enrollment Cycles

  • September 2022

UK entry requirements

  • A 2:2 or above UK Honours degree or equivalent internationally recognised qualification from a scientific, engineering, or a numerate subject.
  • We welcome applicants with other qualifications and industrial experience (relevant to the subject area), who will be assessed on an individual basis. Such applicants may be required to attend an interview and/or aptitude tests

EU and International entry requirements

  • If you require a Tier 4 visa to study in the UK, you must prove knowledge of the English language so that we can issue you a Certificate of Acceptance for Study (CAS). To do this, you will need an IELTS for UKVI or Trinity SELT test pass gained from a test centre approved by UK Visas and Immigration (UKVI) and on the Secure English Language Testing (SELT) list. This must have been taken and passed within two years from the date the CAS is made.

English language requirements

  • IELTS: 6.5 (min 6 in all areas)
  • Pearson: 59 (59 in all subscores)
  • BrunELT: 63% (min 58% in all areas)
  • TOEFL: 92 (min 20 in all)
  • This incredibly relevant and current course will equip you with all the skills you need to venture out into the world of analytics and big data.
  • This course can be studied 1 year full-time, 2 years part-time or 1 year (staged study) part-time, starting in September.

Year 1
Compulsory

  • CS5701 - Quantitative Data Analysis
  • CS5702 - Modern Data
  • CS5703 - Data Visualisation
  • CS5704 - Research Project Management
  • CS5705 - Ethics and Governance of Digital Systems
  • CS5706 - Machine Learning
  • CS5709 - Digital Innovation and Strategy
  • CS5710 - High Performance Computational Infrastructures
  • CS5500 - Dissertation
  • UK
  • £10,750 full-time 
  • £5,375 part-time 
  • Fees quoted are per year and are subject to an annual increase. 
  • Fees for EU applicants – For entry in 2021/22 academic year, eligible EU applicants will have the same tuition fees as UK students to support EU students during this transition period. These fees will be applied for the duration of the course. EU fees for 2022 entry are not yet confirmed.

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