QS Rank:

49

London School of Economics

London
,United Kingdom

Program Rank

45

Program Name
MSc in Data Science
Overview

The MSc in Data Science program at the London School of Economics (LSE) is meticulously designed to equip students with vital skills and knowledge to thrive in the rapidly evolving world of data science. This esteemed program offers a comprehensive curriculum that covers a broad spectrum of topics essential for understanding and applying data science techniques. Each aspect of the program is geared towards fostering analytical thinking, innovative problem-solving, and hands-on experience with the latest data technologies. With an impressive ranking of 49 in the QS World University Rankings for 2023, LSE stands as a paragon of academic excellence, attracting a diverse body of students from around the globe who aspire to make impactful contributions in the field of data science.
The program spans 12 months and is structured to provide an intensive learning experience through a combination of theoretical knowledge and practical applications. Core modules encompass areas such as data analysis, statistical inference, machine learning, and data mining. Specialized electives allow students to delve deeper into specific interests, covering advanced topics like artificial intelligence, data ethics, and big data analytics. This multifaceted approach ensures that graduates possess a well-rounded understanding of both the technical and ethical considerations in data science, preparing them for diverse roles in various industries.
Notably, the faculty expertise at LSE is an invaluable asset of the program. Students benefit from the guidance of professors who are not only renowned researchers in their fields but also actively engaged in cutting-edge projects across various sectors. Faculty members employ innovative teaching methodologies that emphasize collaboration, critical thinking, and real-world application of concepts. This engagement not only enriches the academic experience but also provides students with the opportunity to participate in research initiatives that can enhance their resumes and professional networks.
The program also emphasizes the importance of research opportunities and resources available to students. LSE offers access to state-of-the-art facilities and data resources that facilitate in-depth research work. The emphasis on research enables students to explore complex problems, contributing to their development as competent data scientists. Furthermore, students can engage in collaborative projects with industry partners, bridging the gap between academic theory and practical application. These collaborations often lead to insights that can drive innovation in real-world scenarios.
When it comes to career pathways, graduates of the MSc in Data Science program are highly sought after in the job market. The skills acquired during the program prepare students for various roles including, but not limited to, Statistician, Data Engineer, Research Scientist, and Machine Learning Engineer. The average base salary for graduates stands at an impressive £59,945, reflecting the high demand for qualified data professionals. With LSE's strong connections to industry leaders and recruitment agencies, students gain access to numerous internship opportunities that further enhance their employability.
The alumni success stories serve as a testament to the effectiveness of the program. Graduates have secured positions at prestigious organizations, including Aramco, WhatsApp, and various leading tech firms, showcasing the program's ability to produce skilled professionals ready to tackle real-world challenges. Alumni often share their experiences, highlighting how the skills and networks gained during their time at LSE have been instrumental in their career advancements.
In summary, the MSc in Data Science program at the London School of Economics is not merely an academic course; it is a transformative experience that equips students with the knowledge, skills, and networks essential for a successful career in data science. The combination of a rigorous curriculum, expert faculty, robust research opportunities, and strong industry connections make it a leading choice for aspiring data professionals.
Why Study MSc in Data Science at London School of Economics
- A globally recognized institution with a QS ranking of 49, offering a prestigious degree.
- Diverse international student community, fostering global perspectives and collaboration in learning.
- Access to cutting-edge technology and resources, enhancing practical learning experiences.
- Expert faculty members with extensive industry experience, providing invaluable mentorship.
- Robust connections with leading companies and organizations, facilitating internship opportunities.
- Strong focus on research, enabling students to contribute to innovative projects and real-world solutions.
- High graduate employability rate, with many alumni securing roles in top companies.
In terms of entry requirements, applicants to the MSc in Data Science program must possess a recognized undergraduate degree. Additionally, international candidates are required to demonstrate proficiency in English. Acceptable tests include IELTS (minimum score of 7.0), PTE (minimum score of 70.0), and TOEFL (minimum score of 100.0). Other application prerequisites include a Statement of Purpose, academic letters of recommendation, and a comprehensive resume detailing educational and professional experiences.
Overall, the MSc in Data Science program at the London School of Economics represents an outstanding opportunity for students eager to excel in one of the most dynamic fields today. With its robust curriculum, expert faculty, and excellent career support, graduates are poised to become leaders in the evolving data landscape.

Total Tuition Fees
$36,168

Duration
12 Months
Ranking
#244
US World and News Report
#27
The World University Rankings
#49
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
15

Average Age
20

Average Work Experience
1 Years
Diversity
Asia:
5%North America:
10%Europe:
20%Oceania:
2%Africa:
3%United Kingdom:
60%Career Outcomes
Prospective Job Roles
Statistician
Product Manager
Data Engineer
Research Scientist
Data Mining Specialist
Data Analysis
Business Intelligence Analyst
Data Science
Business Analyst
Data Architect
Analytics Manager
Data Storyteller
Business Administration
Machine Learning Engineer
Top recruiters




Eligibility Criteria
English Proficiency Tests
IELTS
7
PTE
70
TOEFL
100
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: 95
Transcript
Statement of Purpose
IELTS
Degree Certificate
Academic LOR
Academic LOR
Resume
Application Deadlines
Space Available | |
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Fall | N/A |
Fees and Funding

Tuition Fees
$36,168 / year

Overall Cost
$52,968 / year
Funding Options
Department Funding
External Sources - Scholarships
Scholarships
London School of Economics
The London School of Economics
The London School of Economics and Political Science (LSE) Politics Scholarship
FAQs
- Your place at the School can only be granted on the condition that you obtain the minimum grades in one of our recognised English language qualifications, eg obtain one of our recognised English language qualifications listed in your Offer Guide. You may have already declared a qualification we accept (pending verification) on your application, or maybe exempt, based on your nationality. All offer holders who are requested to obtain an English language qualification as part of their offer, will be given access to a questionnaire. Our English language questionnaire can be used to provide us with details, which will either allow us to verify results on your behalf, confirm your exemption, or re-confirm our guidance on supplying us with the necessary documentation. Our website clearly states how we can verify certain English language qualifications. Declaring a valid qualification we do not have access to personally verify (see the English language qualifications section of the page here) via a questionnaire is not sufficient for us to approve the qualification.
- The Admissions Selector takes into account all of the information that is presented on your UCAS form when they assesses your application. Your offer is based on the range of subjects which are most relevant to your degree. As stated on our website, there are subjects that are generally excluded from any offer made, eg, if you are taking General Studies or Critical Thinking at A level, your grade in this subject will not be counted towards the requirements of any conditional offer. Similarly, an A level or equivalent in a language learning subject that you have had significant prior exposure to may not be counted. The Admissions Selector may also choose to exclude other subjects, for example: “Obtain grades AAA excluding Art, plus a pass in a fourth A level.” In this case your Art qualification cannot be used to meet your offer condition.
- Your place at the School can only be granted on the condition that you obtain the minimum specified grades in your forthcoming academic qualifications and provide us with certified documentation of your previously obtained qualification(s), eg, The International Baccalaureate (IB) Diploma with 38 points overall and 7,6,6 at Higher Level. Plus provide certified verification of your previous qualifications listed on your offer letter and send to the School by 31 July 2024. The deadline for us to receive official confirmation of forthcoming qualifications is 6 September 2024, whilst certified documentation of any previously obtained qualifications requested on your offer letter should reach us no later than 31 July 2024.
- Your offer of admission to the School has been based on the information you provided on, or with, your UCAS application form. It is your responsibility to provide official evidence of your qualifications if we require it (please see your offer letter). If you are unable to provide such evidence, we reserve the right to review, and possibly withdraw, your offer of admission.
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