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Start date
September

Duration
2 year(s) full-time

Program Code
LMDSJ

Fees
2019: AUD$ 24,750 per annum (per 1.0 EFTSL)

English Language Requirements
  • IELTS total [7]
  • IELTS reading [6.5]
  • IELTS writing [6.5]
  • IELTS speaking [6.5]
Equivalent English qualifications (PDF)

International Admission by Country
See full entry requirements

CRICOS Code
097011F

Degree overview

  • 97% of UniSA’s assessed research rated at or above world standard.1
  • UniSA is rated five stars for excellence in research, employability, teaching, facilities, internationalisation, social responsibility and innovation.2
  • Ranked in the top 5 universities in Australia for teaching, international outlook, research and industry income.3
  • Enhance your professional credentials and follow one of the anticipated careers of the 21st century.
  • Graduate with a joint degree from the University of South Australia (UniSA) and University College London (UCL).
  • Benefit from academic and industry expertise - UniSA is lead in the $88 million Data to Decisions Cooperative Research Centre.
  • UCL received the highest percentage (96%) for quality research in Computer Science and Informatics in UK's most recent Research Excellence Framework.
  • Study in London and Adelaide.

1 2015 Excellence in Research for Australia (ERA)
2 2018 QS Stars Ratings
3 2017 the top 200 under 50

Snapshot

Snapshot

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 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.

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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.

What you'll learn

What you Learn

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.

Study hours

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.

Assessment

Assessment

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

  • essays, assignments and projects
  • surveys, analyses and reporting
  • field work
  • group projects and reports
  • examinations  
  • research proposals and major project

Global opportunities

The diversity of London is one of its major strengths and attractions. Whatever your interests, you will find resources, activities and facilities available, together with many opportunities to extend your experiences by trying something new. For more information about London, visit UCL's website.

Global opportunities

Research

UniSA is home to several research centres:

All have state-of-the-art facilities, with world renowned links and associations that provide a dynamic teaching and research base for our students.

Cooperative Research Centres
We are also proud to support a number of Cooperative Research Centres (CRC) bringing together researchers and research users, with an emphasis on collaboration through utilisation, commercialisation and technology transfer.

UniSA is the national headquarters for an $88 million CRC in big data. The Data to Decisions CRC is set to boost national security. It places UniSA at the forefront of industry and academic research collaboration. The CRC involves researchers in areas of computer science, engineering, business and law from UniSA, the University of Adelaide, University of New South Wales, Deakin University and Carnegie Mellon University, with industry input from IT and systems integration companies, consulting companies and SMEs in collaboration with state and federal national security agencies.

Degree structure

Course name Area and cat no. Units Reference  
FIRST YEAR
COURSES DELIVERED BY UCL IN LONDON
Term 1 London
Introduction to Deep Learning INFS 5120 4.5
Introduction to Machine Learning INFS 5121 4.5
Elective 1 4.5 Note(s): 1
Elective 2 4.5 Note(s): 1
Term 2 London
Applied Machine Learning COMP 5073 4.5
Data Analytics MATH 5047 4.5
Elective 3 4.5 Note(s): 1
Elective 4 4.5 Note(s): 1
SECOND YEAR
COURSES DELIVERED BY UNISA IN ADELAIDE
Study Period 5 Adelaide
Statistical Programming for Data Science COMP 5070 4.5
Unsupervised Methods in Analytics INFS 5102 4.5
Elective 5 4.5 Note(s): 2
Elective 6 4.5 Note(s): 2
Study Period 2 Adelaide
ITMS Masters Minor Thesis 1 COMP 5005 9 Note(s): 3
ITMS Masters Minor Thesis 2 COMP 5003 9

Why Master of Science in Data Science (International)

Why this Degree

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.

Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the concept of ‘Big Data’, and to a new career - ‘data scientist’.

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

Real-world connections

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.

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

UniSA’s Cooperative Research Centre (CRC) in Big Data

UniSA is proud to support a number of Cooperative Research Centres (CRC) bringing together researchers and research users, with an emphasis on collaboration through utilisation, commercialisation and technology transfer.

UniSA is the national headquarters for an $88 million CRC in big data. The Data to Decisions CRC is set to boost national security. It places UniSA at the forefront of industry and academic research collaboration. The CRC involves researchers in areas of computer science, engineering, business and law from UniSA, the University of Adelaide, University of New South Wales, Deakin University and Carnegie Mellon University, with industry input from IT and systems integration companies, consulting companies and SMEs in collaboration with state and federal national security agencies.

We also host regular University-wide employee master classes and employment expos, and alumni events in Australia and overseas.

Online study

Online study

Online study is not available for this offering.

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.

I am the Program Director for Master Science in Data Science (International) and a lecturer in the School of Information Technology and Mathematical Sciences at UniSA. My research interests and experience include quantitative finance, financial risk management and environmental modelling.

Dr Malgorzata Korolkiewicz

Program Director

Enquire
Portrait image for Dr Malgorzata Korolkiewicz
Portrait image for Dr Malgorzata Korolkiewicz

Dr Malgorzata Korolkiewicz

Program Director

Enquire

Scholarships

Every year, over 2,500 UniSA students are supported in their studies through scholarships and grants worth millions of dollars. Check out the scholarships below. One of them may be perfect for you. Visit our scholarship search page for more.

Your campus

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.

Location This degree is delivered at the following campus.

Your study experience

As a student at the University of South Australia you will have unique access to work placement opportunities, overseas study tours and exchanges, networking events, internships, guest speakers and more.

Our campuses are equipped with state-of-the-art facilities including modern lecture theatres, libraries, workshops, laboratories, and areas that simulate real work environments. These are all supported by the latest technologies and a 24/7 online learning platform. We have health services on campus, gymnasiums, technology zones and great student lounges. There are campus sport activities to keep you active, and if you are keen to explore the social side of university life, there are movies, cooking demonstrations, parties and lots more.

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.

Student services

Student services

International Student Services will make your life at university easier. We want you to be successful, and if you need help we will be there to assist.

We also offer study support from our Learning Advisers. You can work with them face-to-face or online. They are here to help you develop academically and professionally during your studies. They also offer help with the English language. 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.

24/7 digital environment

Our learnonline facilities include a personal learning environment with virtual classrooms, lecture recordings, emails, learning support, administration, library access and results. The environment is available 24 hours a day, seven days a week, so you can tailor your learning to your life. We are continually investing in innovative digital technologies for a high-quality student learning experience.

Student services

How to apply

How to apply for international students will give you helpful information about the application process at the University of South Australia. When you are ready, apply through our International Application System. If you would like to talk to someone near you about studying at the University of South Australia, we have agents all over the world who can assist you. Find an Education Agent in your country.

Deferment

This degree is not available for deferment.

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