

MSc Applied Data Science in Engineering
- Public University
School of Computing, Engineering and Built Environment
MSc Applied Data Science in Engineering at Glasgow Caledonian University Overview
Duration | 1 years - 16 months Get Curriculum |
Tuition & Fees | ₹21.82 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MSc Applied Data Science in Engineering at Glasgow Caledonian University Fees
The fee structure for the MSc Applied Data Science in Engineering at the Glasgow Caledonian University covers the first-year tuition fees along with other additional charges, including the Books and supplies charges; facilities cost and many more offered by the Glasgow Caledonian University. Other than tuition costs, students need to pay living expenses that cover various factors like rent, food, transportation, utility, and other personal expenses. The average cost of living is GBP 6,250. The total tuition fees for the first year of MSc Applied Data Science in Engineering is GBP 18,800.
Find more details about Glasgow Caledonian University MSc Applied Data Science in Engineering on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 21,81,740 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 7,25,313 |
| Insurance | INR 90,055 |
MSc Applied Data Science in Engineering at Glasgow Caledonian University Curriculum
Students who wish to learn more about Glasgow Caledonian University MSc Applied Data Science in Engineering program can simply click the green button below. The curriculum PDF contains all essential details, including course structure, electives, specializations, and duration. Additionally, it provides a semester-wise breakdown, making it easier to understand the overall program layout.
Download exam sample paper
MSc Applied Data Science in Engineering at Glasgow Caledonian University Entry Requirements
- No specific cutoff mentioned
- 50%
- Read less
- UK honours degree 2:2 (or equivalent) in engineering or physical sciences (for example, mechanical, telecommunications and petroleum, physics, mathematics, electrical engineering, chemical engineering)
- Applicants must have any one of the following:
- Four-year Bachelor's degree (50% minimum; second class average over course duration)
- Three-year Bachelor's degree (60% minimum; first-class average over course duration)
- Applicants with industry qualifications/experience are also welcomed within the GCU Recognition of Prior Learning (RPL) Policy
- If applicants do not have the typical academic entry qualifications, but can demonstrate relevant work experience and/or credits from recognised professional bodies, you may be eligible to enter this course via the University's Recognition of Prior Learning scheme.

Calculate your score and check your eligibility at over 2000+ universities.

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 59/90
- with each sub-score to be at least 59 (24/25 entry onwards)
- Marks - 6/9
- with no element below 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
MSc Applied Data Science in Engineering at Glasgow Caledonian University Application Process
- Proof of English language proficiency
- Personal statement
- References – one academic reference minimum
- Academic or professional certificates
- Academic transcripts
- A copy of your passport identification pages (international students only)
MSc Applied Data Science in Engineering at Glasgow Caledonian University Rankings
| Rank | Rank Publisher |
|---|---|
| #85 | |
| #105 | |
| #396 |
Glasgow Caledonian UniversityStudents Ratings & Reviews
- 50% students never faced discrimination in this university
MSc Applied Data Science in Engineering at Glasgow Caledonian University Highlights
- GCU’s MSc in Applied Data Science in Engineering will ensure students will become a competent specialist in Engineering Informed Data Science (EIDS) tools and technologies (or solutions) for high-value, highly complex assets
- As part of this course, students will study a ground-breaking curriculum linked to industry digital engineering needs
- Students will learn to analyse complex systems and engineering assets, to deploy instrumentation as part of Industrial Internet of Things (IIoT) architectures, to store, manipulate and analyse big data effectively by implementing data visualisation techniques and producing digital twins capable of transforming data into actionable insights supporting informed engineering/business decisions
- The course was designed with input from industry for industry, and it was specifically constructed with a career development focus, so students will gain valuable skills they can immediately put to work in different industry sectors
- The program offers graduates a highly focused skillset that is valuable to an extremely wide range of industry sectors currently going through the digital transformation process
- The students who choose to start their course in September will complete this course in 12 months and if students enroll in January intake, will complete this course in 16 months
MSc Applied Data Science in Engineering at Glasgow Caledonian University Scholarships
Resources for you
Learn the process in simple steps with these guides handpicked for youExplore courses offered by Glasgow Caledonian University
Other Courses offered by Glasgow Caledonian University
Similar courses in different Universities
Stoke-on-Trent, UKPublic
Edinburgh, UKPublic
Newcastle upon Tyne, UKPublic
Manchester, UKPublic
Bath, UKPublic
London, UKPublic
Belfast, UKPublic
Newcastle upon Tyne, UKPublic
About the author
MSc Applied Data Science in Engineering at Glasgow Caledonian University Popular & recent articles
MSc Applied Data Science in Engineering at Glasgow Caledonian University Contact Information
Cowcaddens Rd, Glasgow Metropolitan Area G4 0BA, UK
Glasgow ( Scotland)




