MSc Data Science and Analytics

Entry requirements

Entry requirements:

To join this programme, you’ll need:

• A 2:2 or above UK Honours degree (or international equivalent) from a scientific, technology, engineering, computing or a numerate subject.

All modules and assessments are delivered in English, so you’ll need to meet our English language requirements. We accept a range of qualifications, including:

• IELTS: 6.5 overall (minimum 6.0 in all areas)
• Pearson (PTE): 59 overall (59 in all subscores)
• BrunELT: 63% overall (minimum 58% in all areas)
• TOEFL iBT: 90 overall (minimum 20 in each section)

Months of entry

January, May, September

Course content

Turn big data into even bigger insights and gain the skills to drive your data analytics career forward on this 100% online degree.

About the programme

Global data is growing at rapid speed and so is the need for professionals who can cut through the noise. Unlock the power of data with our online MSc in Data Science and Analytics. Blending hands-on practical training with academic theory taught by some of the world’s leading academics, you’ll be equipped with the skills to turn complex datasets into insights that drive innovation across sectors including retail, finance, healthcare, tech and government.

From day 1, you’ll work with cutting-edge technologies like Hadoop, Spark, Tableau, Python and R and acquire skills in quantitative analysis, data visualisation, big data processing, machine learning and more, leaving you ready to make an impact and shape your future in an increasingly data-driven world.

Modules

All learning is delivered online to fit around your work and personal commitments. You’ll complete eight core modules and a final dissertation, combining theory and practice to prepare you for a career as an AI expert.

Quantitative Data Analysis: This module teaches you how to design and implement methods to prepare data using advanced statistical techniques. You’ll then be able to apply these methods to real data to generate insight and design your own data management frameworks.

Modern Data: This module gives you the opportunity to evaluate data quality, critically compare current statistical analysis methods for data exploration and create your own tailored analysis plans for data preparation, exploration and management.

Data Visualisation: How do you turn data into valuable insights? On this module, you’ll learn how to design and implement effective visualisation methods, algorithms and techniques to generate value and insight from data, leaving you ready to critically reflect on current data visualisation methods.

Research Project Management: Bring your knowledge to life through your very own research project. Choose an area of study, formulate research in response to a problem area, using your critical thinking, evaluation and practical skills to shape your research

Ethics and Governance of Digital Systems: What can we learn about digital information from the way it’s handled? This module identifies what existing research has to say about the governance of digital information. You’ll consider the legal, social and ethical concerns of using digital systems and critically reflect on the implications of adopting digital technologies in the modern working environment.

Machine Learning: This module helps you develop the skills necessary to extract value and insight from diverse data sets using statistical learning. As you explore machine learning techniques and approaches to performance evaluation, you’ll learn how to evaluate not just their ability to deliver accurate predictions but also the value and limitations of prediction.

Artificial Intelligence : Master the fundamentals of artificial intelligence. This module explores key AI concepts and methods, teaching you how to apply these methods to define problems and critically evaluate their effectiveness.

Deep Learning: Master deep learning concepts and develop your understanding of their real-world impact. You’ll also explore deep learning architectures and optimisation methods, and apply those methods to real-world problems as you evaluate how effective they are.

Dissertation : Demonstrate the knowledge and skills you’ve gained on this degree programme through a dissertation. You’ll propose, present and evaluate the solution to a research problem or question within a specific field of study, applying the appropriate research and data collection methods to form a complete report.

Power your future in data

Global excellence: Join a top-ranking department led by faculty who are recognised among the world’s top 2% of scientists.

Industry-relevant curriculum: Designed with input from industry professionals, learn the skills employers need.

World-class technical training: Put theory to practice with tools including Hadoop, Spark, Tableau, R, Python, and SAS.

Tailored academic support: Get access to mentoring, guidance and employability services from day 1.

In-demand data skills that drive innovation

Data science : Explore key concepts from the disciplines that define modern data science..

Data analysis: Learn how to turn a critical understanding of data into clear insights for industry innovation

Strategic tools: Apply data science tools and techniques to problems in social, business and scientific domains.

Digital problem-solving: Address industry challenges with AI algorithms and techniques and evaluate their effectiveness.

Professional agility: Develop and demonstrate relevant competencies through projects and collaborations with industry.
Technical research: Conduct, report on and evaluate research related to AI’s problems and challenges.

Unlock opportunities in data

Led by industry-leading academics, this degree programme prepares you for a rewarding career with leading employers like Accenture, AstraZeneca, AXA Insurance, British Airways, PayPal, Experian, Capgemini, FICO, GE Healthcare, HSBC and more.

As a Brunel online graduate, you’ll be prepared to step into roles including:

• Data scientist
• Analytics consultant
• Business analyst
• Clinical data scientist
• Forecast analyst
• Customer insight analyst
• Quantitative analyst
• Developer
• Enterprise architect
• Web analyst

Fees and funding

Offers & Discounts - Scholarships

A range of scholarships are available for students studying online programmes at Brunel. In addition to scholarship opportunities, a discount is available to self-funding students who pay the full amount of the fees due at or before their scheduled date of registration. This discount is 2% on the net course fee due, meaning that this 2% will be applied after any other discounts to which they may be entitled. No application is required for the Early Payment Discount.

Brunel Regional Discount

Brunel offers special reduced fees i.e., £6,000 for India, South and East Asia and Africa with following programmes:

• Master of Public Health (MPH) Online
• Advanced Manufacturing Systems M.Sc Online
• Engineering Management MSc Online
• Health Economics and Health Policy MSc Online
• Public Health & Health Promotion M.sc Online
• Public Health & Behaviour Change MSc Online
• Global Public health & Social Justice M.sc Online
• MSc Business Intelligence and Digital Marketing
• MSc Human Resource Management
• MSc International Business
• MSc Management

Brunel Graduate Discount

The Brunel Graduate Discount is available for self-funding applicants who have previously studied at Brunel University London (and achieved their intended award), who register for any subsequent degree programme. It offers a 15% concession on tuition fees.

Brunel Family Discount

If you have a direct family member who is interested in studying with us, they may be eligible for a 10% fee concession from their tuition.

Postgraduate Academic Excellence

The Postgraduate Academic Excellence scholarship is available for students on Postgraduate Taught (PGT) courses at Brunel University London and is available to all students who have obtained a First-Class undergraduate degree, offering a 15% concession on tuition fees.