MSc Business Analytics
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 have the expertise to deliver end-to-end analytics solutions and apply data effectively in business contexts.
The programme is built around the three core areas needed to succeed in analytics: business knowledge, statistics and computing. This includes modules focused on the application of analytics in core business functions such as marketing and human resources, as well as those that develop key technical skills in areas like advanced analytics, machine learning, text mining, data management and data-driven decision-making.
Throughout the course, students gain hands-on experience with industry-standard software including Python, R, SQL, Tableau, Power BI and KNIME, building the practical skills needed to work with complex data. Through a partnership with US-based Alteryx, students also benefit from access to free software licenses, training and certification — part of an in-kind donation valued at approximately $15 million. This equips students with industry-recognised credentials and a competitive edge in the global analytics job market.
In total, students will study eight modules, alongside pre-course training and a final dissertation project. The dissertation is a key highlight of the programme, offering the opportunity to design and deliver a technical business analytics solution that brings together all aspects of their learning.
The programme begins with an induction, where pre-course training in key statistical and computing skills ensures that students from a wide range of backgrounds are ready to succeed from day one.
Intakes
- Sep
Application Processing Time in Days: 10
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Employability
This programme is designed for students aiming to build careers in the fast-evolving fields of data analytics and business intelligence. Graduates will be well prepared for roles in analytics consultancy, data science, business intelligence, and data-driven business decision-making, with opportunities in both India and international markets.
Graduate Outcomes
You’ll develop in-demand skills in coding, statistical analysis, data visualisation and machine learning, enabling you to extract insights from complex datasets and inform high-impact decisions. You'll gain hands-on experience with industry-standard tools such as Python for programming and Tableau for business intelligence, helping you translate data into meaningful strategies. This Master's prepares you for analytical roles in organisations looking to optimise performance and drive innovation through data.
Example Career Paths
- Data Science
- Data Analyst
- Business Analyst
- Analytics Consultant
- Business Intelligence Professional
- Data-Driven Strategy
Admission Requirement / Eligibility Criteria
- Normally a Bachelor degree awarded by a recognised Indian institution with a final average of 53%-55% or above (comparable to UK 2.2 Honours degree standard), 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.
*This could be a course or module in a broad range of quantitative areas such as Finance, Mathematics, Statistics, Economics, Accounting, Engineering or Physics. Equivalent content from across multiple modules will also be considered.
English Language Requirements
- Evidence of an IELTS score of 6.0, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
- English in the Indian Standard XII may be accepted (CBSE/CICSE/Karnataka/Maharashtra/Tamil Nadu/West Bengal boards) with a score of 70% taken within 7 years of the expected course start date.
An official Digilocker verification document will be required. Please provide your Admit Card ID number to the University.
If you have completed a degree that was taught and assessed in English within the two years prior to your first enrolment at Queen’s University Belfast – GIFT City Campus, the University may be able to accept this as evidence of your English language proficiency.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
1836900 INR
Average Cost of Living: 500000 INR /year
Application Fee: N/A