Enter OTP
designed to equip students with the skills and knowledge required for a career in data science. The program focuses on data analysis, machine learning, and spatial data, preparing graduates for roles in various industries.
Curriculum Structure
In the first year, students undertake core modules including Mental Wealth; Professional Life (Data Ecology), Advanced Decision Making: Predictive Analytics & Machine Learning, Spatial Data Analysis, and Quantitative Data Analysis. These modules provide foundational knowledge in data science principles, predictive modeling, and spatial data techniques. The program culminates in a Data Science Dissertation, allowing students to apply their learning to a substantial project.
Focus Areas
Data Analysis, Machine Learning, Spatial Data, Predictive Analytics, Data Ecology
Learning Outcomes
Proficiency in data analysis techniques, understanding of machine learning algorithms, ability to analyze spatial data, skills in predictive analytics, and capability to conduct independent research projects.
Professional Alignment (Accreditation)
The program aligns with industry standards, preparing students for professional roles in data science and related fields.
Reputation (Employability Rankings)
UEL's computing programs are recognized for their strong industry connections and employability outcomes, with graduates securing roles in various sectors.
This programme focuses on applying advanced computing principles through practical project work in UEL's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to UEL's computing labs with high-specification workstations for software development, systems analysis, and project work.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems and development environments.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.
Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.
Graduates of the MSc Data Science at the University of East London develop expertise in data mining, machine learning, and statistical analysis, qualifying for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst. The program balances theoretical foundations with practical applications, making graduates well-prepared for data-driven careers.
UEL’s Careers Service supports students with personalized job advice, CV workshops, interview preparation, and offers an optional industrial placement to enhance employability.
91% of graduates secure employment or further study within six months, with salary expectations typically between £28,000 and £45,000 depending on role and experience.
The university maintains strong industry links, with employers like Microsoft, JP Morgan, and Canon providing networking, mentorship, and project opportunities.
The MSc is accredited by the British Computer Society, supporting long-term career progression and Chartered IT Professional status.
Graduates gain skills in big data analytics, predictive modelling, and data visualization, prepared to contribute to sectors including finance, healthcare, and technology.
Further Academic Progression:
Graduates can pursue PhD research in Data Science or related fields, advanced certifications, or industry-driven research roles to deepen their expertise and career prospects.
Bachelor's degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).India- Bachelors degree and have scored an average of: 50% or above from the following Universities: Delhi; Mumbai; Pune; Kolkata; Chennai; Anna; Bharatiyar; MSU Baroda; Bangalore 55% or above from all other recognised institutions Universities USA- Bachelor's degree from a recognised institution with a minimum GPA of 2.5 out of 4.0.IELTS 6.0 with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)Software DeveloperDatabase AdministratorComputer Hardware Engineer
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University of East London
