Master of Science in Data Science (International)

Study in Australia and the United Kingdom with UniSA and UCL’s joint Master of Science in Data Science (International) degree.

As part of this degree you'll spend the first eight months in London, and then transition to Adelaide to complete the remainder of the program.

The partnership between UCL and UniSA combines the strengths of each institution, to deliver a program that is a unique blend of strong theoretical knowledge in Statistics and Computer Science with a range of modern applications from social media to organisational analytics.

The Master of Science in Data Science (International) will provide you with the knowledge and computational skills you will need to become a highly sought-after analytics professional and data scientist.

In addition to courses that are essential for future data scientists, the program includes a wide range of electives which allow you to pursue your interests.

At UCL you will be able to choose from a range of advanced computer science topics including data mining, machine vision and deep learning.

At UniSA, you will be able to develop skills in advanced and applied analytics and data visualisation.

The program culminates in an independent research project which you undertake in your final semester.

Partner description UCL is proud of its pioneering history, distinguished present and exciting future.

UCL is a great place to be a student – here are some of the reasons why.

World-leading reputation UCL is the top-rated university in the UK for research strength (Research Excellence Framework 2014) 10th in the world (QS World University Rankings 2019) 29 Nobel Prizes have been awarded to people who are, or were, students or academics at UCL UCL staff and students come from a total of 155 countries UCL attracts the best and the brightest staff and students UCL has the highest number of professors in any UK university You’ll study with world-leading experts, and benefit from a program of distinguished visitors and guest speakers You’ll benefit from outstanding individual attention for your studies Our wide-ranging expertise across all fields of study provides opportunities for ground-breaking cross-disciplinary investigation Worldwide connections UCL's exceptional links and networks give you the opportunity to make contacts and gain valuable experience, as well as the chance to work on meaningful projects that have a positive impact on society.

UCL’s ongoing links with industry and other partners include:

Arup, Cisco, the BBC, the EU, CERN, NASA, the UK Parliament, the UN, Dyson, Eisai, the British Museum, Microsoft, Intel and the EDF.

Entry requirements

Minimum of an upper second-class Bachelor's degree in a quantitative discipline from a recognised UK university, or one of the below qualifications in a quantitative discipline from a recognised Australian university: 4 year Bachelor degree with any of the following marks/classifications: Second Class (Upper Division) Division A Division 1 3 year Bachelor degree with any of the following marks/classifications: First Class High Distinction Or a non-UK / non-Australian qualification of an equivalent standard. Relevant disciplines will typically be in the field of mathematics or computer science. Assumed knowledge: first year of a mathematics degree or equivalent (multivariate calculus, linear algebra, introductory statistics, probability). Students should also be comfortable with a high level of programming in a language such as Python.

All applicants are also required to submit a personal statement, one academic reference letter, and a detailed curriculum vitae.

UCL is proud of its pioneering history, distinguished present and exciting future.

UCL is a great place to be a student – here are some of the reasons why.

World-leading reputation

• UCL is the top-rated university in the UK for research strength (Research Excellence Framework 2014)
• 10th in the world (QS World University Rankings 2019)
• 29 Nobel Prizes have been awarded to people who are, or were, students or academics at UCL
• UCL staff and students come from a total of 155 countries

UCL attracts the best and the brightest staff and students

• UCL has the highest number of professors in any UK university
• You’ll study with world-leading experts, and benefit from a program of distinguished visitors and guest speakers
• You’ll benefit from outstanding individual attention for your studies
• Our wide-ranging expertise across all fields of study provides opportunities for ground-breaking cross-disciplinary investigation

Worldwide connections UCL's exceptional links and networks give you the opportunity to make contacts and gain valuable experience, as well as the chance to work on meaningful projects that have a positive impact on society.

UCL’s ongoing links with industry and other partners include: Arup, Cisco, the BBC, the EU, CERN, NASA, the UK Parliament, the UN, Dyson, Eisai, the British Museum, Microsoft, Intel and the EDF.

The aim of this program 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.

In this program you will undertake courses 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.

For each course you study, you will need to allocate time for various classes such as lectures, tutorials, workshops, seminars and practicals. Plus you will need additional hours to study in your own time to complete assignments, readings and projects and contribute to online discussion forums. So as a general rule, if you are studying full-time you would need to allocate 12 – 26 hours of study when at university and 14 – 28 hours of independent study per week.

Your studies at UniSA will incorporate practical, professionally-focused and research-based learning, so assessment types will vary. You can expect them to include:

UniSA and UCL – under a new agreement – are working together to advance IT excellence globally through joint education to deliver innovative outcomes for industry and graduates.

The partnership brings UCL’s world-leading research to Australia and interconnects with UniSA’s interdisciplinary and real-world experience approach.

UCL is one of the world’s leading multi-disciplinary universities. 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.

UCL has been ranked as the number one UK university for research strength and is ranked 7th in the QS World University Rankings.

Your career

Enter the revolutionary area of big data where there is an acute shortage of data scientists. A McKinsey Global Institute report forecasts a 50 per cent gap between projected demand and supply by 2018.

The field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation.

The demand for analytic skills is supported by research from IBM in a recent report - 'The Quant Crunch: How the demand for data science skills is disrupting the job market', which predicts that by 2020, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000.

In the UK, the big data and artificial intelligence boom is expected to generate 56,000 data science positions from 2016-2020^.

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.

^MT - Management Today, 2016.

To apply to study the Master of Science in Data Science (International), visit ApplyOnline, UniSA's online application portal.

Our campuses have fantastic facilities including modern lecture theatres, libraries, workshops, laboratories, tech zones, and areas that simulate real work environments. You’ll also find student gyms and campus sport activities to keep you active. We also offer flexible study options, with online resources available for accessing lecture recordings, virtual classrooms, library resources and learning support.

Adelaide has a variety of accommodation options to suit different requirements and budgets. Options include dedicated student accommodation or private rentals. See our long-term accommodation pages for plenty of options. If you need somewhere to live, our new student accommodation by urbanest is on Bank Street in Adelaide’s lively cultural precinct, a perfect location for students. It is within easy reach of UniSA’s city and metropolitan campuses, Rundle Mall shopping, the Central Market, Chinatown, and the West End’s vibrant nightlife. It is also across the road from the Adelaide train station, and on bus and tram routes.

Our student support services can make your life at university easier. We provide a full range of support services including academic and personal counselling. You can also access a range of services through our students association, USASA. When you become a UniSA student you can contact Campus Central for help with anything related to your degree. They will help you with your enrolment, ID cards, fees, timetables and any other questions you might have.

We have six campuses in metropolitan and regional areas, each with advanced facilities including modern lecture theatres, libraries, laboratories, and areas that simulate real work environments.