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Queen Margaret University

Queen Margaret University

MSc in Business Analytics with Professional Practice

Full-time 2 Years

OFFER RESPONSE

5 Days

APPLICATION FEE

0 GBP

Fees Waived Off

BACKLOGS

10 backlogs accepted

POST STUDY WORK

1.5-3 Years

TUITION

18455 GBP
PER YEAR

LIVING/ PER YEAR

15000 GBP
PER YEAR

DURATION

2 Years

INTAKE


Deadline:

COURSE CURRICULUM

The MSc Business Analytics with Professional Practice at Queen Margaret University provides a comprehensive combination of advanced business analytics education and practical industry experience, preparing graduates for successful careers in data-driven decision-making and business intelligence. The programme develops expertise in collecting, managing, analysing and interpreting qualitative and quantitative data to solve complex business problems and improve organisational performance. Students study a broad range of subjects including data analytics for management decision-making, statistics and data visualisation, systems analytics and data architecture, business forecasting and predictive modelling, strategic management, finance, research methods and contemporary business issues. The curriculum explores key analytical techniques such as regression analysis, classification, clustering, forecasting, machine learning and data modelling while also developing an understanding of information systems, database structures and business strategy. Students gain practical experience using modern analytical tools and techniques to transform data into meaningful business insights and support evidence-based decision-making. The course also examines sustainability, responsible management and the role of businesses in addressing global challenges through the United Nations Sustainable Development Goals. A distinctive feature of the programme is the 60-credit Professional Practice Internship, which enables students to gain valuable workplace experience in a professional setting related to their career goals, apply their knowledge in real-world environments, develop industry-relevant skills and build professional networks. Academic support is provided throughout the internship process to help students achieve their learning objectives and reflect on their professional development. Following the internship, students complete a 12,000-word dissertation, conducting independent research on a business analytics topic of their choice and demonstrating advanced analytical, investigative and critical evaluation skills. Graduates leave with a strong blend of technical expertise, business knowledge, research capability and practical industry experience, making them highly competitive for roles such as Business Analyst, Data Analyst, Business Intelligence Analyst, Data Visualisation Specialist, Analytics Consultant, Operations Analyst, Market Research Analyst and Management Consultant. Overall, the programme offers excellent preparation for leadership and analytical roles across a wide range of industries in the increasingly data-driven global economy.

Mode of Study

Full-time

Job Rate

94%

Course Entry Requirements

Review the entry and language criteria.

Choose your language proficiency test

* No IELTS, no TOEFL - this united kingdom college doesn’t require an English test.

Scholarship Details

Details depend on the scholarships and study programs selected

AVG STARTING SALARY

₹47L

for MSc Data Science at University of Edinburgh

PLACEMENT RATE

91%

across top 6 programs

Top recruiting companies

Google

Meta

JP Morgan

Amazon

Microsoft

Stripe

Atlassian

Deloitte

Expected Annual Salary

£37,500 / year

£30K£45K

Total Tuition Fees (2 Years)

£24,610

Total Living Costs

£30,000

Total Investment

£54,610

Years to Payback

1.5 YEARS

We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.

Ready to take the next step?

Our counsellors review every application before it goes to the university.

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+91 85519-85519

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support@edvia.ai

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MSc in Business Analytics with Professional Practice