Business Analytics MSc
Why choose this course
In our fast-paced, data-driven modern world, business analysts help organizations turn big data into big ideas.
Artificial intelligence, machine learning and management science power decisions in business. You’ll gain data-led insights and optimize businesses by using descriptive, predictive and prescriptive analytics.
Our highly practical MSc Business Analytics course will transform you into a confident lateral thinker who is up-to-date on the latest theory and practice. While you benefit from the input of inspiring industry experts, in-class and on-site, we will also make sure you’re immersed in the business problems faced by the global business community today.
We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World University Rankings 2020.
What you will study
This course will take your career to the next level and develop your ability to make the big decisions about data in a confident fashion. Your studies will focus on two areas: analyzing business data and using data to solve business challenges. In this course, you will have an opportunity to use artificial intelligence to improve a chess game, game theory to create games, or computational intelligence with genetic algorithms. You’ll also discover visualizations from graphs and explore virtual reality, gaining insights from data mining and machine learning.
Intakes
- Oct
Application Processing Time in Days: 20
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 |
Admission Requirement / Eligibility Criteria
A minimum of a 2:2 UK honours degree in either Computer Science, Economics, Engineering, Finance or Mathematics, or a recognised equivalent international qualification. We'll also consider a minimum of three years relevant work experience in an analytical and data-intensive field if you don’t meet these requirements.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
19600 GBP
Annual Cost of Living: 9207 GBP
Application Fee: N/A
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