Master of Science in Data Science (Teesside University)
Course Information
Description
Course Overview
Data scientists use a range of computational and statistical techniques to unlock insight from data and solve complex problems. This emerging profession sits at the cutting-edge of computer science and graduates are increasingly in demand from industry.
This innovative data science course equips you with the specialist skills and knowledge to make an immediate and meaningful contribution to a range of industry environments.
Entry Requirements
AGE REQUIREMENTS
20 years old
ACADEMIC REQUIREMENTS
- An honours degree with a minimum grade-point average of 2.7/4.0
ENGLISH REQUIREMENTS
- If your first language is not English, you will need an IELTS score of 6.0 equivalent with no component below 5.5
- Singapore-Cambridge GCE ‘O’ Level English – Grade C or above for all entries
- Other English requirements are per Teesside University’s entry requirement
https://www.tees.ac.uk/sections/international/minimum_english_scores.cfm
MATURE APPLICANTS
Candidates who are at least 30 years of age with at least 8 years of working experience. To qualify as a mature candidate, you are required to submit a Personal Statement of not more than 200 words and 2 Referee Reports from at least one employer. Shortlisted applicants may be required to attend an interview.
Career Opportunities
Information not available.
Modules
| Module Titles | Credits |
|---|---|
| Big Data and Business Intelligence | 20 |
| Data Visualisation | 20 |
| Interactive Visualisation | 20 |
| Statistical Methods for Data Analytics | 20 |
| Research Methods | 20 |
| Machine Learning | 20 |
| Computing Masters Project | 60 |
-
12 months
-
Part-time
-
12 months
-
Full-time
-
12 months
-
Full-time
-
18 months
-
Full-time
-
12 months
-
Full-time
-
Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
-
Full-time
-
Visit https://institute.erau.edu/about-asia-institute/academic-calendar for Academic Calendar
-
Part-time