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University of Northampton

Northampton , England ,United Kingdom

Business Analytics MSc

The MSc Business Analytics will equip you with the Quantitative and Qualitative techniques needed to understand and engage with complex data as well as the analytical tools to drive business advantage. You will deepen your knowledge of business analytics, decision-making within given contexts, business and systems analysis, and management consultancy with a view to using that knowledge to improve the decision-making process in business.

MSc Business Analytics has been designed to help learners gain the skills and qualifications needed to pursue a career in business analytics. Business analytics is an area where employers are finding increasing difficulty in recruiting graduates with the right qualifications and skills.

There is a growing demand for such skills, but also a significant gap between current graduates’ analytical skills and employers’ needs. By completing this program, learners will improve their employability opportunities by gaining the expertise required to analyze data, improve decision-making, and help companies gain a competitive advantage.  The program enables learners to gain knowledge in business intelligence, strategy, information systems theories, and fundamentals of project management.

Applied Systems Analysis

The purpose of this module is to provide an overview of approaches in business and systems analysis. One of the key approaches covered in detail is the notion of Systems Thinking and Business/System Dynamics. Other systems analysis approaches are also discussed.

Business Intelligence

The reliance of businesses on application and data-driven intelligence has increased tremendously in the past decade and has become an inseparable part of any company. The module explores the underlying concepts in business intelligence, analytics, and decision sciences.

Campus Information

Waterside Campus

Intakes

  • Jan
  • Sep

Application Processing Time in Days: 21

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

Possible career paths for the graduates of this programme:

  • Data Scientist
  • Business Analyst
  • Chief Data Officer (CDO)
  • Chief Technology Officer (CTO)
  • Advanced Analytics Consultant
  • IT Consultant, Insight Analytics
  • Data Management Reporting Analyst
  • Market Research Analyst
  • Customer Analytics Consultant
  • Data Analyst
  • Research Analyst
  • Business Intelligence Analyst

PSW Opportunity

  • 2 Years PSW is applicable after completing a minimum duration of 9 months course (like- Undergraduate, Postgraduate Level)
  • 3 Years PSW is applicable after completing PhD level courses.

Admission Requirement / Eligibility Criteria

  • If you hold a recognised first or second-class honours degree (or equivalent) in Business, Management, Information Systems, or Information Technology-related courses, you will be eligible to apply for this business analytics course.

Other Entry Requirements

This course will be suitable for recent graduates of Business, Management, Information Systems, and Information Technology related degrees. It will also be appropriate for professionals employed in the business sector who wish to progress in their current roles.

Graduates of the following Engineering disciplines are particularly suited to this programme and would be considered:

  • Aerospace
  • Civil
  • Electrical/Electronic
  • Mechanical
  • Robotics
  • General Engineering
  • Manufacturing
  • Industrial Engineering
  • Structural Engineering
  • Agricultural/Environmental

 

For More Information Please Contact To Our PSA Counselor.

Disclaimer: PSA updates the information on this page from time to time; however, there may have been more recent updates. Please refer to the university website for the latest information.