Statistics with Data Analytics MSc
Statistics is the study of the collection, analysis, interpretation, presentation and organisation of data. Statistical analysis and data analytics is listed as one of the highly desirable skills employers are looking for, and with data becoming an ever increasing part of modern life, the talent to extract information and value from complex data is scarce.
The new Statistics and Data Analytics MSc is designed to train the next generation of statisticians with a focus on the field of data analytics. Employers expect skills in both statistics and computing. This master’s programme will provide a unique and coherent blend of modern statistical methods together with the associated computational skills that are essential for handling large quantities of unstructured data. This programme offers training in modern statistical methodology, computational statistics and data analysis from a wide variety of fields, including financial and health sectors.
Intakes
- Jan
- Sep
Application Processing Time in Days: 30
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
By the end of this programme you’ll have acquired an advanced level of statistical knowledge and data analytical skills. This will allow you to work as an independent expert within a multidisciplinary team that designs, performs, analyses and reports about applied scientific research.
You’ll be equipped to pursue a career in data science, the financial sector or the health sector. Areas you might be interested in could include big processing companies (Accenture, Oracle Corporation), the financial sector (JP Morgan), pharmaceuticals (GSK), government agencies (the Office of National Statistics) and data science departments within universities.
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
A 2:2 (or above) UK Honours degree or equivalent internationally recognised qualification in an engineering, science or technology subject; Mathematics or Statistics discipline Other subjects with relevant work experience will be assessed on an individual basis
A minimum score of 55%-65%. Offers within the grade range are determined by the higher education institution attended.
English language requirements
IELTS: 6.0 (min 6 in all areas)
Pearson: 59 (59 in all subscores)
BrunELT: 63% (min 58% in all areas)
TOEFL: 90 (min 20 in all)
- Course Code: G300PSTATDAT
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
25000 GBP
Average Cost of Living: 13632 GBP /year
Application Fee: N/A
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