The MSc in Data Science and Analytics utilizes University's strong international reputation for research in these areas. The expertise of their staff influences this course which explores current research and practice in data science and analytics, extending students' knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.
Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.
With a placement year, students can gain real industry experience. Supervised work experience provides students with the opportunity to set their academic studies in a broader context, to gain practical experience in specific technical areas and to strengthen their communication and time-management skills. It greatly assists them in developing as independent learners, so that they will be able to gain maximum benefit from the learning opportunities afforded by their future study programme. It gives them opportunities, according to the nature of the placement experience, to acquire the basis of technical expertise in specialist areas, which they may be able to enhance through study after completion of the placement, especially in the final project.
This course is part of the Master's programme in Computer Science. Classes consist of lectures, small group seminars, and practical work in well-equipped laboratories with the use of modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, students will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and Wi-Fi access.
Graduates in Data Science and Analytics are now data scientists, data engineers, and data analytics consultants working for organizations including BT, IBM, and Microsoft.
| Level | Masters |
| Discipline | Computer Science and IT |
| Duration | 12 months |
| Intakes | Jan, Sep |
| Application Fees | GBP 0 |
| Tuition Fees | GBP 17950 |
| Campus | Main |
| Language proficiency (minimum) | |
| IELTS | 6 |
|---|---|
| TOEFL | 79 |
| PTE | 58 |
| Duolingo | Not Accepted |
| Exam proficiency (minimum) | |
| SAT | Not Required / Waiver |
|---|---|
| ACT | Not Required / Waiver |
| GRE | Not Required / Waiver |
| GMAT | Not Required / Waiver |
Minimum GPA - 70.0%
851-900
601-800
901-1000
677
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