UCL (University College London)

Course Introduction

This is a joint degree between UCL and UniSA and students that successfully complete the Programme will be issued a single certificate containing the names of both institutions. The Programme is built around a combination of Data Science programmes offered separately by both UCL and UniSA. Modules delivered by UCL for the Programme focus on theory, whilst the UniSA modules are comparatively more practical. The aim of this programme is to produce graduates with the analytic and technical skills to effectively use Python, Hadoop, R and SAS to analyse Big Data and extract useful information to support the management and operations of an organisation. You will undertake modules across a broad range of data science topics, which will provide you with hands-on experience in data analytic techniques for real-world challenges. Taught by leading researchers in data science, you will learn to analyse and visualise rich data sources, spot data trends and to generate data driven insights.

Data science brings together the best of data management and analytic methods, and the presentation of results - all in a closed loop cycle for continuous learning and improvement within the organisation. This rapidly expanding area has applications in search and information retrieval, e-commerce, finance, health, natural language modelling and artificial intelligence. It operates in a global context and is committed to excellence, innovation and the promotion of global understanding in all its activities: research, teaching, learning, enterprise and community engagement. While the demand for analytic skills crosses multiple industries, fields such as marketing, health care, IT, government and finance are expected to experience a particularly strong need for analytics professionals.

Duration & Attendance Qualification Tuition fees Fee type
2 years
Full Time
MSc Home Fees
2 years
Full Time
MSc European Fees
2 years
Full Time
MSc Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have a minimum of an upper second-class Bachelor's degree in a quantitative discipline from a recognised UK university or a non-UK qualification of an equivalent standard in a relevant discipline typically in the fields of mathematics or computer science. Students should be comfortable with a high level of programming in a language such as Python.
  • International entry requirements: Students need to have: IELTS overall grade of 7.0 with a minimum of 6.5 in each of the subtests; overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening in Test of English as Foreign Language (TOEFL) iBT; overall score of 185 with 176 in all subtests in Cambridge Certificate of Proficiency in English; overall score of 185 with 176 in all subtests in Cambridge Certificate of Advanced English; pass at Mastery level when achieved with a pass at Mastery level in the Pitman International Spoken test (ISESOL) in City & Guilds (Pitman Examination in International ESOL); 69 overall, with a minimum of 59 in each Communicative Skill in Pearson Test of English (Academic); successful completion of ISE III with a ?merit? in all components; overall mark of 70%, with at least 65% in each of the four subtests in UCL Diploma in English for Academic Purposes; overall mark of 70% with at least 65% in each of the four elements of the examination in UCL International Pre-Master's Courses; mark of 70%, with at least 65% in each of the subtests in UCL Pre-sessional English Courses.
  • IELTS score: 7
  • TOEFL score: 100