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India

MSc Business Analytics

Postgraduate

MSc Business Analytics

Entry year
2026/27
Entry requirements
2.2
Duration
1 year (Full-time)
Places available
Open

Overview

The increase in the volume, variety, and velocity of data creates opportunities for businesses to improve decision making and develop new data driven products and services. The MSc Business Analytics has been developed to meet the demand for qualified professionals, who possess the necessary expertise to realise end-to-end business analytics solutions and are equipped to utilise data for business decision-making purposes.

The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics, and computing. This includes modules focusing on the application of analytics in core business functions such as marketing and human resources, as well as modules focusing on developing and applying technical skills such as advanced analytics and machine learning, text mining, data management, and data driven decision making.

In total, students will study eight modules in addition to pre-course training and a final dissertation project. The dissertation is a key highlight of the programme, as it provides students with the opportunity to undertake an independent project where they will create a technical business analytics solution incorporating all elements of the programme.

The programme will include an induction, where pre-course training in key statistics and computer skills will ensure students from a range of backgrounds have the necessary skills to undertake the course.

Course content

MSc Business Analytics students will study the following modules:

  • Statistics for Business
  • Human Resource Analytics
  • Artificial Intelligence in Business and Society
  • Data Management
  • Data Driven Decision Making
  • Data Mining
  • Marketing Analytics
  • Advanced Analytics and Machine Learning

This programme equips students with both technical and applied knowledge to address business problems using real-world data. Students will gain hands-on experience in key business analytics tools and frameworks and will be prepared to deliver data-driven insights in a wide range of industry settings.

Entry Requirements

Graduates

Normally a 2.2 Honours degree or equivalent qualification acceptable to the University in any discipline to include one module in a quantitative area or a quantitative dissertation. Relevant employment experience in a quantitative area may be considered in lieu of a module in a quantitative area and will be considered on a case-by-case basis.

Applicants are advised to apply as early as possible.

English Language Requirements

Evidence of an IELTS score of 6.5, with not less than 5.5 in any component, or an equivalent qualification acceptable to the University is required. Taken within the last 2 years.

Careers

Employability

The programme will appeal to students who intend to pursue a career in a business analytics-related field, such as data science, business intelligence, consultancy, informatics, or decision intelligence.

Graduate Outcomes

Graduates of this programme will be well placed to secure roles with organisations in India and globally in sectors such as consulting, finance, tech, and enterprise solutions. Potential roles include data analyst, business analyst, software engineer, consultant, and data-driven decision-making specialist.

Fees & Funding

Tuition Fees

£15,000

Tuition fees relate to a single year of study and may be subject to annual inflationary increases.

Additional Costs

Depending on the programme of study, there may be extra costs which are not covered by tuition fees. Students should consider budgeting for learning materials, personal study devices, and printing.

Scholarships

£2,000 GBP scholarship available for 2026 entry.

How to apply

Apply using the online application portal and follow the step-by-step instructions.

Terms and Conditions

  • Due to high demand, there is a deadline for applications
  • This condition of offer is in addition to any academic or English language requirements