MSc in Machine Learning & Deep Learning
- Public University
- Department of Computer and Information Sciences
MSc in Machine Learning & Deep Learning at University of Strathclyde Overview
Duration | 12 months |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹22.19 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
MSc in Machine Learning & Deep Learning at University of Strathclyde Highlights
- MSc Machine Learning & Deep Learning degree focuses on state-of-the-art technologies for machine learning and deep neural network systems
- The emphasis is on architectures, algorithms, and implementation with applications in a diverse range of areas
- This course is for engineers and scientists looking to gain the necessary skills to be able to design these systems for use in industry
- Machine learning and deep neural network systems are currently used by leading organizations worldwide and research centers in a wide range of applications and products
- Students will complete two semesters of compulsory and elective taught classes. These are followed by a three-month research project in a chosen area
MSc in Machine Learning & Deep Learning at University of Strathclyde Curriculum
Latest curriculum for MSc in Machine Learning & Deep Learning at University of Strathclyde can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at University of Strathclyde
MSc in Machine Learning & Deep Learning at University of Strathclyde Rankings
MSc in Machine Learning & Deep Learning at University of Strathclyde Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Applicants must have a first or good second-class UK Honours degree, or equivalent overseas qualification, in electronic or electrical engineering, or computer science, from a recognized academic institution
- Applicants from other relevant engineering or science-related disciplines may be considered
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 58/90
- With a minimum of 51 in each component
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 6.5/9
- With no individual component below 5.5
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Yes
- Read lessconditional offer for UG – University will offer a place if student meet certain conditions, usually based on your exams conditional offer for PG- If applicant receive a conditional offer, they will have to meet other requirements before their place is secured. Students will be able to view these requirements online. Usually they’re pending qualifications which is required to achieve at a specified grade. In the case of applicants whose first language is not English, documentary evidence of your proficiency in English may be a further requirement.
MSc in Machine Learning & Deep Learning at University of Strathclyde Application Process
- Certified copies of degree certificate and transcripts
- English Language proficiency scores
- Copy of student's sponsor letter/scholarship award (if appropriate/available)
MSc in Machine Learning & Deep Learning at University of Strathclyde Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 22,19,162 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 7,41,880 |
Personal Expenses | INR 5,30,900 |
Total approximate fees | INR 12,72,780 |
Calculated at the exchange rate of 1 Pound = INR 106.18 | Tuition & expenses were last updated on 22ⁿᵈ October 2024
MSc in Machine Learning & Deep Learning at University of Strathclyde Scholarships
University of StrathclydeStudents Ratings & Reviews
- Academically oriented
- Friendly
- Multi-dimensional
- Easy going
- 62% students never faced discrimination in this university