Data Science (MSc)
The course builds upon your existing skills in computer science (coding, cloud computing, basic machine learning) and mathematics (linear algebra, probability, statistics and calculus). It will develop your training in the field of data science and allow advanced study into a range of specialised domains such as autonomous systems, computer vision, user experience, and advanced software engineering.
Your study is underpinned by three integrated strands which develop mathematical foundations, computational thinking, and engineering skills. It is the holistic combination of these three areas that make graduates attractive to employers.
You'll develop the technical skills needed to critically analyse, mine, and manage different kinds of data in order to learn and discover interesting patterns. The course teaches you how to make actionable conclusions from those assessments, while participating effectively in multidisciplinary teams. You'll also benefit and learn from the Department's expertise in trustworthy systems.
Your study culminates in a focused research project in the field of data science which develops the skills to contribute professionally to solving complex commercial and industrial engineering problems.
Campus Information
Campus East
Several departments have purpose-built facilities on Campus East, including Law and the York Management School. In October 2010, several departments moved into new facilities on Campus East including the Department of Theatre, Film and Television and the Department of Computer Science.
Intakes
- 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
- Programming engineer
- Software developer?
- Higher education teaching and research
- Information analyst and app developer
- Systems architect
- Business analyst
Admission Requirement / Eligibility Criteria
- 2:2 or equivalent undergraduate degree in Computer Science or a related field. The degree should have modules in programming, mathematics, and algorithms or data science.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
32900 GBP
Average Cost of Living: 13632 GBP /year
Application Fee: 22 GBP