QS Rank:

8

University College London

London
,United Kingdom

Program Rank

9

Program Name
MSc in Data Science

Deadline
August 30th, 2024
Overview

The MSc in Data Science program at University College London is meticulously designed to meet the rising demand for data-driven solutions across various sectors such as marketing, pharmaceuticals, finance, and management. This master's degree provides students with a unique blend of computational and statistical skills, allowing them to tackle complex data-related problems. As industries increasingly rely on data analytics, the skills acquired in this program will empower graduates to create sophisticated technical solutions that are both innovative and effective.
The curriculum combines a thorough grounding in core statistical and machine learning methodologies with optional courses that delve into specialized topics such as statistical computing and modeling. From the outset, students are trained in the principles of rigorous statistical thinking, equipping them with the analytical tools necessary to navigate the intricate landscape of data science. This structured approach not only fosters a deep understanding of the theoretical aspects but also emphasizes practical application, ensuring that graduates are well-prepared for the workforce.
Students in the MSc Data Science program are required to complete modules that total 180 credits. The program structure is carefully crafted to facilitate an enriching educational experience that includes a foundation module (non-credit bearing), eight taught modules (120 credits), and a research dissertation (60 credits). This comprehensive structure ensures that students gain a holistic understanding of data science, from initial theory to advanced practical application. More detailed information on specific modules, including syllabuses and reading lists, can be accessed through the department's handbook for taught graduate students.
The teaching methodology employed by the faculty at UCL is one of the program's standout features. The faculty members are not only experts in their fields but also dedicated educators who engage students through a combination of lectures, hands-on lab sessions, and collaborative projects. This interactive approach fosters a dynamic learning environment that encourages students to apply theoretical concepts in real-world settings, thus enhancing their problem-solving capabilities. Additionally, the program emphasizes research opportunities, allowing students to work alongside faculty on cutting-edge research projects. This exposure is vital for developing critical thinking skills and gaining insights into industry practices.
Moreover, the university's strong ties with industry mean that students have numerous opportunities for internships and networking. As part of the program, students are encouraged to participate in various projects and collaborations with industry leaders. These connections not only enrich the student's learning experience but also significantly improve their employability upon graduation. UCL actively supports students in seeking out internships and placements that provide valuable work experience, which is essential in the competitive job market.
On completion of the MSc in Data Science, graduates can pursue a wide range of career pathways. The program prepares students for roles such as Statistician, Database Administrator, Data Scientist, Big Data Engineer, Machine Learning Engineer, and Business Intelligence Analyst. With a job placement rate of 90% and a graduation rate of 92%, the program has a proven track record of producing qualified professionals who excel in their chosen fields. The median base salary for graduates is approximately £75,000, reflecting the high demand for data science professionals.
UCL has a vibrant community of alumni who share their success stories, often highlighting how the MSc Data Science program played a pivotal role in their careers. Alumni have gone on to work for prestigious organizations and startups alike, leveraging their skills in various sectors to drive innovation and decision-making. Their testimonials underscore not only the academic rigor of the program but also the real-world applicability of the skills acquired.
Choosing to study the MSc in Data Science at the University College London comes with numerous advantages:
- World-Class Faculty: Learn from leading experts in data science and related fields who bring both academic knowledge and practical experience to the classroom.
- Comprehensive Curriculum: Engage in a well-structured program that combines core modules with specialized electives to tailor your learning experience to your interests.
- Research and Internship Opportunities: Gain valuable hands-on experience and insights through collaborations with industry leaders and participation in impactful research projects.
- Strong Job Placement Rates: Benefit from UCL's extensive network and high job placement rates within the data science industry.
- Alumni Network: Join a vast community of successful alumni who can provide support, mentorship, and career opportunities.
For those interested in applying, the program has specific prerequisites, which include a relevant undergraduate degree and certain foundational knowledge in linear algebra, calculus, probability, and statistics. Additionally, applicants must submit various documents such as transcripts, letters of recommendation, a personal statement, and proof of English proficiency through exams like IELTS, PTE, or TOEFL.
The MSc in Data Science at the University College London stands out not just for its academic excellence but also for its commitment to preparing students for success in a rapidly evolving field. With a diverse student population and a rich learning environment, it is an ideal choice for individuals looking to advance their careers in data science.

Total Tuition Fees
$41,000

Duration
12 Months

Median Salary
$75,000
Ranking
#16
US World and News Report
#18
The World University Rankings
#8
QS World University Rankings

Intake
Fall ( Sept - Nov )

Intake
Spring ( Apr - June )
Class Profile

Class Size
15

Average Age
22

Average Work Experience
2 Years
Diversity
North America:
5%Africa:
2%Others:
6%UK:
60%Asia:
10%South America:
2%EU:
15%Career Outcomes

Median Earnings After Graduation
$75,000 / year

Graduation Rate
92%

Job Placement
90%
Prospective Job Roles
Statistician
Database Administrator
Data Scientist
Big Data Engineer
Big Data Specialist
Data analyst
Machine learning engineer
Business Intelligence Analyst
Application Developer
Business Analyst
Top recruiters










Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
75
TOEFL
92
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 90
Transcript
Medium of Instruction (Certificate)
IELTS
Academic LOR
Professional LOR
Passport
Personal Statement
227
Resume
Application Deadlines
Standard Deadline | |
---|---|
Fall | Aug 30, 2024 |
Fees and Funding

Tuition Fees
$41,000 / year

Overall Cost
$54,000 / year
Funding Options
Department Funding
Scholarships
Scholarships
India students are eligible to apply for scholarships at UCL. You can find all available scholarships on our Scholarship Finder.
UCL India Excellence Scholarship for full-time Master’s scholarships
The UCL India Excellence Scholarships will support thirty-three (33) Indian students with an outstanding academic record to pursue full-time Master's degree studies at UCL for the 2024-25 academic year. Prospective Master’s students in any discipline can receive £5,000 towards their studies. Further information can be viewed on the Excellence Scholarship page.
External Sources
- Inlaks Shivdasani Foundation
- Inlaks Ravi Sankaran Programme (Ecology, Conservation & Field Biology)
- The J.N. Tata Endowment
FAQs
Please use your referee’s academic or professional address rather than their personal address, e.g. [email protected] instead of [email protected]. Using a non-academic or non-professional email address may delay the application process. When you submit your application, your referee(s) will automatically be sent an email asking them to write a reference for you and submit it using a reference portal link. After you have submitted your application, let your referee(s) know to expect an email from us. Our emails can sometimes go to junk folders. Please note that the Graduate Admissions Office cannot resend references, update your referees’ details or replace your referee. You will need to wait until you receive access to your applicant portal.
Most programmes require you to provide the details of referees who can be contacted to provide references. The section “Application and next steps” of your programme’s prospectus page will confirm how many references are required.
It is not possible to submit an application once the application deadline has passed and the programme has closed to new applications. Applications can be submitted up to 5pm (UK time) on the deadline date advertised. If you have missed the deadline you will only be able to submit an application for the next admissions cycle, which opens in October 2024.
You may submit applications for a maximum of two taught graduate programmes for entry to the 2024/25 academic year. The applications must be for different programmes. Please note that if an application fee is charged, it will be charged per application. Specific advice about applying to some departments is outlined below: If you considering applying to the LLM within the Faculty of Laws, you should apply for either the general LLM or one LLM specialism route. You are not permitted to apply for both. If you want to study an LLM with a specialism, you should apply to the relevant LLM specialism route. If you are unsure at this stage, whether you want to specialise or would like to study a general LLM, then you should apply to the general LLM route. UCL does not accept multiple applications for the same programme in the same academic year.
You are not required to provide a CV with your application. However, it can often be a good way to summarise your education and work experience.
The required evidence should, if possible, be included with the complete application. However, you can submit your application before you have taken a test. If either unsatisfactory or no evidence of English language proficiency has been provided with the application, admission will be conditional upon the provision of such evidence. This condition will be clearly indicated on the offer letter and must be fulfilled before enrolment at UCL.
The English language requirements for a programme are stated on the programme’s prospectus page. You may be required to meet one of UCL’s five levels of English language proficiency, or obtain specific scores in a UCL-recognised test. UCL’s English language policy details all of the ways in which you can meet the minimum English language requirement for your chosen programme of study.
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