Data Science and Machine Learning MSc
- Public University
- Faculty of Arts and Humanities
Data Science and Machine Learning MSc at UCL University Overview
Duration | 1 year |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹39.61 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
Data Science and Machine Learning MSc at UCL University Highlights
- The MSc Data Science and Machine Learning at UCL brings together computational and statistical skills and machine learning for data-driven problem solving
- This rapidly expanding area includes deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence
- As a student on the MSc Data Science and Machine Learning, you will develop an understanding of core machine learning methodologies and statistical science, combined with a set of more specialised and advanced topics covering computing and statistical modelling
- Students on this programme will take modules to the value of 180 credits, on successful completion of which they will be awarded MSc in Data Science and Machine Learning
- UCL Computer Science graduates are highly valued as a result of the department's strong international reputation, strong links with industry, and ideal location close to the City of London
Data Science and Machine Learning MSc at UCL University Curriculum
Latest curriculum for Data Science and Machine Learning MSc at UCL University 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 UCL University
Data Science and Machine Learning MSc at UCL University Rankings
Data Science and Machine Learning MSc at UCL University Entry Requirements
- No specific cutoff mentioned
- 60%
- Read less
- A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, engineering, physicals, or statistics. Additionally, applicants must have knowledge of mathematical methods including linear algebra, calculus, probability and statistics at least at the level taught in the first year of a UK university undergraduate programme in the mathematical sciences
- Relevant work experience may also be considered
- Depending on the optional modules selected, students undertake assignments that contain programming elements and prior experience in a high-level programming language (e.g., Python) is useful
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The award of any of the following from a recognised institution:
A Bachelor's degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken.
Alternative qualifications: Master's; Medical / Dental degree; MPhil/PhD - India Specific:
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Requirements for BA, BCom and LLB degrees
- For programmes requiring a UK 2.1: Minimum 7.75/10, 6.25/8, 5.75/7, 4.25/6 & 3.3/4 or 60%
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Requirements for degrees in other subjects
- For programmes requiring a UK 2.1: Minimum 8.0/10, 6.5/8, 6.0/7, 4.5/6 & 3.3/4 or 65%
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Requirements for degrees in any OTHER subject from other ANY OTHER institution
- For programmes requiring a UK 2.1: Minimum 8.5/10, 7.0/8, 6.5/7, 5.0/6 & 3.6/4 or 70%
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- For further information please refer to section on graduate programmes on the prospective students India page.
Calculate your score and check your eligibility at over 2000+ universities.
- N/A
- 3 year degrees are acceptable
Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 76/90
- Overall score of 76 with a minimum of 75 in each Communicative Skill
- Marks - 7/9
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- Overall score of 7.0 and a minimum of 6.5 in each component
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 125/160
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- Overall score of 125, Comprehension, Literacy, Conversation score of 115, Production score of 120
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
- Yes
- Students may get a conditional offer
Data Science and Machine Learning MSc at UCL University Application Process
- Academic transcript provided in English
- A personal statement is required
- Candidates are requested to begin their personal statement with a note on the formal (accredited) results that they have obtained in each of the following areas: Linear Algebra, Calculus, Probability and Statistics. Candidates should do this under four separate headings, one for each area, under which they note the modules/courses in which the content in that area was covered, the grade achieved on those modules/courses, and the key topics covered in those modules/courses.
- Copy of passport
- Proof of English language proficiency
- Students can pay their fees in three installments
- Deadline for the first installment is 31 October
- Deadline for the second installment is 7 February
- Deadline for the third installment is 2 May
Data Science and Machine Learning MSc at UCL University Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 39,61,125 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 12,01,964 |
Insurance | INR 81,969 |
Transportation | INR 1,57,389 |
Application Fee | INR 9,507 |
Course materials | INR 26,407 |
Mobile | INR 26,407 |
Health and wellbeing | INR 29,048 |
computer | INR 79,222 |
Total approximate fees | INR 16,11,913 |
Calculated at the exchange rate of 1 Pound = INR 105.63 | Tuition & expenses were last updated on 6ᵗʰ November 2024
Data Science and Machine Learning MSc at UCL University Scholarships
University College LondonStudents Ratings & Reviews
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- Stressful
- 0% students never faced discrimination in this university
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