
University of Greenwich

London
,United Kingdom

Program Name
Master of Science in Data Science
Overview

The Master of Science in Data Science program at the University of Greenwich is meticulously designed to equip students with the multifaceted skills required to excel in the data-driven landscape of today’s technological world. Spanning a duration of 12-14 months, this program immerses students in a comprehensive curriculum that covers the essential aspects of data science, including applied statistics, database systems, machine learning, and data architecture. The coursework emphasizes practical applications and theoretical foundations, ensuring that graduates are well-prepared for progressive careers in data science.
As a student in this innovative program, individuals will engage in hands-on learning experiences that are critical for developing practical skills. The curriculum includes a variety of intensive courses that delve deep into both foundational and advanced topics, such as Practical Machine Learning, Statistics, and Data Structures. Each course is carefully crafted to enhance analytical thinking and problem-solving skills, which are essential for tackling real-world challenges in data science.
One of the unique features of the MSc in Data Science at the University of Greenwich is the opportunity for students to collaborate on projects that address current industry challenges. This hands-on approach not only strengthens students’ technical abilities but also enhances their understanding of industry standards and practices. Students will have the chance to work with industry-leading tools and technologies, applying their knowledge in practical settings to gain a competitive edge in the job market.
The faculty at the School of Computing and Mathematical Sciences comprises experienced professionals and academic experts who are committed to student success. With backgrounds in various sectors of data science and a passion for teaching, faculty members employ innovative teaching methodologies that foster an engaging and supportive learning environment. This commitment to excellence in education is a hallmark of the University of Greenwich, ensuring that students receive the highest quality of instruction and support throughout their academic journey.
Research opportunities available at the University of Greenwich significantly enhance the learning experience in the MSc in Data Science program. The university encourages students to participate in cutting-edge research projects, providing access to state-of-the-art resources and facilities. Students can engage in research that explores innovative applications of data science, potentially contributing to the advancement of knowledge in the field. Furthermore, the university’s strong connections with industry partners allow students to benefit from internship opportunities, which can lead to valuable real-world experience and job placements after graduation.
Why Study Master of Science in Data Science at University of Greenwich
- Comprehensive Curriculum: The program offers a robust curriculum that covers key areas of data science, ensuring students possess a well-rounded skill set.
- Expert Faculty: Learn from a diverse team of faculty members with extensive industry experience and academic expertise.
- Research Opportunities: Engage in innovative research projects that allow for practical application of theoretical knowledge.
- Industry Connections: Benefit from strong ties with various industries, providing students with internship and career opportunities.
- Career Pathways: Graduates are well-prepared for diverse roles in data science, including Data Scientist, Data Analyst, and Data Architect, among others.
- Alumni Network: Join a thriving alumni network that provides career support and networking opportunities in various sectors.
The career pathways for graduates of the MSc in Data Science program are as diverse as they are promising. With an average base salary of £45,000, graduates can explore roles such as Data Scientist, Data Manager, and Data Architect across various sectors, including finance, healthcare, education, and technology. Employers recognize the demand for skilled data professionals, and graduates from the University of Greenwich are well-equipped to meet these demands.
Testimonial from alumni reflects the program's impact on their careers. For instance, one graduate noted that the program provided them with the analytical tools needed to tackle complex data challenges in their role as a Data Analyst at a prominent tech firm. Another alumnus successfully transitioned into a Data Scientist position at a leading bank, emphasizing that the practical experience gained during the internship made a significant difference in their hiring process.
To apply for the Master of Science in Data Science program, prospective students are required to submit a transcript, an academic letter of recommendation, and a resume. An IELTS score of at least 6.5 is also required, ensuring that all candidates have the necessary language proficiency to thrive in an academic environment. The application process is designed to be straightforward, allowing for a smooth transition into this enriching graduate program.
In summary, the Master of Science in Data Science program at the University of Greenwich offers a dynamic and engaging learning experience, combining advanced theoretical knowledge with practical skills. With a focus on research, industry connections, and expert instruction, this program stands out as a premier choice for aspiring data science professionals.

Duration
12 Months

Median Salary
$45,000
Ranking
#601
The World University Rankings
Class Profile

Class Size
25

Average Age
25

Average Work Experience
2 Years
Diversity
UK:
65%North America:
4%Others:
6%Africa:
1%Asia:
2%Others:
9%EU:
13%Career Outcomes

Median Earnings After Graduation
$45,000 / year
Eligibility Criteria
English Proficiency Tests
IELTS
6.5
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.
Transcript
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$16,300 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
The Data Science Institute
The University of Greenwich
The Royal Statistical Society
The British Computer Society
FAQs
- A student can complete Data Science at University of Greenwich with in 12.
- The annual tuition fee to pursue Data Science at University of Greenwich is GBP 16300.
- The submission of these scores mainly depends on the type of degree/ course selected at the University of Greenwich. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Greenwich requirements before submitting a score.
- Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
- If a student fulfils all the eligibility criteria and admission requirements of University of Greenwich, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
- An MS degree at University of Greenwich can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Greenwich website to check the course/ degree duration.
- One can apply for scholarships to pursue their international education at University of Greenwich by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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