Data Science
Master of Data Science
Learning Mode
Full-time
Duration
1 Year
Start date
September
Qualification
MSc
Fees
£24,795
Location
Uxbridge, Greater London
About the Course
This intensive Master’s program provides a grounded education in data science, analytics, machine learning, and statistics. Designed for students with backgrounds in scientific, engineering, or numerate disciplines, the curriculum combines rigorous theory with practical experience through labs, projects, and real-world case studies. Graduates gain advanced skills in data-driven decision-making, preparing them for professional roles in data-rich industries.
Career prospects
Graduates find roles such as Data Scientist, Analytics Consultant, Machine Learning Engineer, and BI Developer. Employer partners include Accenture, HSBC, PayPal, GE Healthcare, Experian, and British Airways. Brunel’s Professional Development Centre supports career readiness via workshops, industry mentorship, and recruitment events.
Why choose Data science at Brunel?
Industry Connected
Brunel partners with global firms, offering placements, projects, and networking with leading employers.
Global Opportunities
International exchanges, research collaborations, and diverse community enrich global exposure and skills.
Professional Accreditation
Brunel’s engineering and design programs hold accreditation from IMechE, IED, and IET, enhancing employability.
Course Overview
The Master of Data Science (MDS) is a graduate-level degree that focuses on equipping students with the advanced skills and knowledge required to analyze, interpret, and extract valuable insights from large datasets. In an increasingly data-driven world, organizations across various industries rely on data scientists to make informed decisions, optimize operations, and drive innovation. The MDS program combines concepts from computer science, statistics, machine learning, and domain-specific knowledge to create well-rounded professionals capable of solving complex data-related problems.
Course Duration
Length of the course
- 1 year
Mode of Study for international students:
- Full-time
Course Curriculum
The MSc Data Science & Analytics curriculum at Brunel University London blends theoretical foundations with hands-on experience in data handling, analysis, and interpretation. Core modules cover machine learning, big data analytics, data mining, statistical modelling, database systems, and data visualisation. Students gain proficiency in programming languages like Python and R, and work with industry-standard tools. The program also includes a research methods module and a capstone project, enabling students to solve real-world data problems. This comprehensive approach prepares graduates for data-driven roles across various industries and sectors globally.
Admission Requirements
Entry Criteria
- Academic qualifications
A UK 2:2 degree (or international equivalent) in a numerate subject (science, engineering, mathematics, etc.)
Relevant professional or academic experience may be accepted in lieu of formal qualifications
Language Proficiency
Standard requirement:
IELTS for UKVI or equivalent language qualification as per UKVI regulations
Fees and Funding
Tuition Fees:
£24,795 Per Year Full Time
Scholarships and Bursaries:
Vice-Chancellor’s International Excellence Award: £6,000 off tuition (automatically considered)
Postgraduate International Bursary: £2,000 automatic tuition reduction
GREAT Scholarships: £10,000 toward tuition for UK citizens of Ghana, India, or Türkiye in select MSc programmes
British Council Women in STEM Scholarship: Full funding (tuition, stipend, travel) for eligible female candidates in STEM MScs
Commonwealth Shared Scholarships & Chevening: Available for eligible students through national schemes
Career Opportunities
Brunel University’s MSc Data Science graduates are prepared for roles such as data scientist, machine learning engineer, and business analyst. They find opportunities in industries including finance, healthcare, technology, and government. The program’s practical approach and strong industry links ensure graduates are equipped with skills to meet the growing demand for data expertise in global job markets.
Contact Us
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