Master of Science [M.Sc] (Data Science)
Field of Study:
£17,500/Yr
- Kingston University offers an MSc Data Science program for a duration of 1 year.
- It is a full-time and part-time course.
- Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science, and government.
- This course builds on the established strengths of the Mathematics and Computer Science programs and develops a multidisciplinary approach to the computational analysis of data.
- There is an increasing demand for data-savvy professionals both in industry and in research who can make sense of large amounts of data and apply it to the solution of relevant problems.
- This course offers postgraduates with some background in computing, mathematics, or data-based investigation the opportunity to develop their skills in a way that will prepare them for careers in this fast-growing and exciting area which spans virtually all areas of commerce and industry as well as scientific research, and involves working with individuals and organizations to extract value from the ever-increasing volume of data that is available.
- The average salary goes up to 96,420 USD.
Important Dates
Applications are accepted until the pogram is full.
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | £17500 (GBP 17500) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Books and supply | £250 (GBP 250) |
Other Fees | £1455 (GBP 1455) |
Total Cost | £1705 (GBP 1705) |
Previous Year Tuition Fees
Year | 1st Year Fees |
---|---|
2022 | £17500 (GBP 17500) |
2021 | £21372 (GBP 21372) |
Eligibility & Entry Requirement
Academic Eligibility:
- Should have typical appropriate first degree subjects would include computer science (including software engineering or cybersecurity), mathematics, statistics, and engineering.
- At least a 2.2 honors degree on a 4.0 scale in a subject with significant computing science or mathematics/statistics content.
Indian Student Eligibility:
Indian students are eligible to apply if they meet one of the following eligibility criteria:
- Students must complete a 4-year undergraduate degree with first class in a relevant field from a recognized institution
- Or, students completed a master's degree with first-class in a relevant field from a recognized institution.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test to get admission to this program.
Scores Required
Course Guides
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VISA & Work Study
Work Study
Many postgraduate courses at Kingston University allow students to take the option of 12-month work placement as part of their course. The responsibility for finding the work placement is with the student; we cannot guarantee the placement, just the opportunity to undertake it. As the work placement is an assessed part of the course, it is covered by a student's Tier 4 visa.
Career and Placement after Course
Following are the Job opportunities for an MSc Data Science are:
- Statistician.
- Business Intelligence (BI) Analyst.
- Data Analyst.
- Big Data Engineer.
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
(ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
Collegedunia $150 Scholarship Program | Scholarship per student£ 150/Yr$150 | Level Of StudyBachelor | TypeMerit-Based | |
Commonwealth Shared Scholarships | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
Chevening Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
JN Tata Endowment Scholarship | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based | |
Commonwealth Scholarship | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based |
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