Business Analytics MSc
Making effective decisions is crucial in today’s business world. This course will develop the skills that you need to analyse complex business challenges and make decisions that have a positive impact. You do not need to have studied data or analytics before to study this course.
You’ll build up your analytical and technical skills during the course, starting with the fundamentals and progressing to learn about complex analytical models, decision-making and carrying out your own independent research.
We use our links with industry to bring guest lecturers to the course and you’ll work with real-world data sets to put the skills you learn into practice. Working with industry experts during the course means that you’ll develop your knowledge of working with stakeholders to understand their needs.
For the project dissertation, you can choose to work with an organisation to get more industry experience and apply the theory from the course to a real-world challenge.
Intakes
- Sep
Application Processing Time in Days: 30
Application Process
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
You’ll graduate with the knowledge and experience that you need for a career in the field of business analytics. During the course you’ll gain hands-on experience and skills that make you highly employable after graduation, such as:
- Python programming for data analysis and automation
- Data wrangling (cleaning, merging, transforming datasets)
- Statistical modelling and basic predictive analytics
- Mathematical programming and optimisation for business decision-making, with experience of commercial solvers such as CPLEX
- Data visualisation using tools like Power BI, Tableau or Python libraries
- Database management and data governance principles
- Business problem-solving using analytics tools
- Decision support systems and scenario analysis
- Effective communication of data insights (both visual and written)
- Project-based learning, applying analytics to real business challenges in the Capstone Project
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
- Minimum 2:1 undergraduate honours degree in any subject.
We assess each application on the basis of the applicant’s preparation and achievement as a whole. We may accept applicants whose qualifications don’t meet the published entry criteria but have other experience relevant to the course.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
34340 GBP
Average Cost of Living: 13632 GBP /year
Application Fee: N/A
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