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Students
Tuition Fee
AUD 54,000
Per year
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Diploma
Major
Applied Statistics | Operational Research | Statistics
Area of study
Mathematics and Statistics
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 54,000
About Program

Program Overview


The Graduate Diploma in Data Science and Decisions equips students with expertise in data science through a comprehensive curriculum in mathematics, statistics, computer science, and economics. The program's core courses provide a solid foundation, while electives allow for specialization. Graduates are prepared for careers as data analysts, scientists, engineers, and more in various industries.

Program Outline

Degree Overview:

The Graduate Diploma in Data Science and Decisions is designed to equip students with the skills and knowledge necessary to become experts in data science. The program combines coursework in mathematics, statistics, computer science, and economics to provide students with a comprehensive understanding of the field. The program's objectives are to:

  • Provide students with a strong foundation in the mathematical and statistical principles of data science.
  • Develop students' skills in data analysis, data mining, and machine learning.
  • Prepare students to apply data science techniques to real-world problems.
  • Develop students' communication and teamwork skills.

Outline:

The Graduate Diploma in Data Science and Decisions consists of 48 units of credit (UOC). The program is divided into two parts: a core component and an elective component. The core component (24 UOC) consists of the following courses:

  • Database Systems
  • Business Economics
  • Economics of Strategy
  • Multivariate Analysis
  • Statistical Inference
  • The elective component (24 UOC) allows students to choose from a wide range of courses, including:
  • Foundations of Computer Science
  • Principles of Programming
  • Machine Learning and Data Mining
  • Data and Machine Learning
  • Fundamentals of Data Science
  • Introduction to Statistics and Statistical Computations

Assessment:

Students in the Graduate Diploma in Data Science and Decisions are assessed through a variety of methods, including:

  • Assignments
  • Quizzes
  • Exams
  • Projects
  • The assessment criteria for each course are outlined in the course syllabus.

Teaching:

The Graduate Diploma in Data Science and Decisions is taught by a team of experienced faculty members from the School of Mathematics and Statistics, the School of Computer Science and Engineering, and the School of Economics. The program uses a variety of teaching methods, including:

  • Lectures
  • Tutorials
  • Labs
  • Projects
  • Group work

Careers:

The Graduate Diploma in Data Science and Decisions prepares students for a variety of careers in data science. Graduates of the program may work as data analysts, data scientists, machine learning engineers, or data engineers. They may find employment in a variety of industries, including:

  • Technology
  • Finance
  • Healthcare
  • Retail
  • Manufacturing
  • Government
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About University
PhD
Masters
Bachelors
Diploma
Foundation
Courses

University of New South Wales, Sydney


Overview:

The University of New South Wales (UNSW) Sydney is a leading public research university located in Sydney, Australia. It is renowned for its academic excellence and is consistently ranked among the top universities in Australia and globally.


Services Offered:

UNSW Sydney offers a wide range of services to its students, including:

    Study Options:

    Undergraduate and postgraduate degrees, short courses, online programs, professional development opportunities, and Higher Degree Research.

    Campus Experience:

    A vibrant campus environment with various facilities, including accommodation, student support services, and a comprehensive library.

    Support Services:

    Academic advising, career counseling, financial aid, and mental health resources.

    International Student Support:

    Dedicated services for international students, including visa assistance, cultural orientation, and English language programs.

Student Life and Campus Experience:

UNSW Sydney provides a dynamic and engaging campus experience for its students. The university boasts a diverse student body, a wide range of clubs and societies, and numerous social and cultural events throughout the year. Students can enjoy a vibrant campus life with opportunities to connect with peers, explore their interests, and develop their skills.


Key Reasons to Study There:

    Academic Excellence:

    UNSW Sydney is recognized for its high-quality academic programs and world-class research.

    Global Reputation:

    The university consistently ranks among the top universities in Australia and internationally.

    Research Opportunities:

    Students have access to cutting-edge research facilities and opportunities to work alongside leading researchers.

    Career Development:

    UNSW Sydney provides strong career support services and connections with industry partners.

    Vibrant Campus Life:

    The university offers a diverse and engaging campus environment with numerous opportunities for student involvement.

Academic Programs:

UNSW Sydney offers a wide range of academic programs across its eight faculties:

  • Arts, Design & Architecture
  • Business School
  • Engineering
  • Law & Justice
  • Medicine & Health
  • Science
  • UNSW Canberra

The university is particularly known for its strengths in engineering, business, medicine, and science.

Total programs
403
Average ranking globally
#39
Average ranking in the country
#2
Admission Requirements

Entry Requirements:

For entry into this degree, you must have one of the following: a Bachelor of Mathematics a Bachelor of Science with a major in mathematics, statistics or computer science a Bachelor of Data Science and Decisions an undergraduate degree in a cognate discipline as determined by the program authority You also need to have a sufficient background in mathematics and/or statistics and/or data science, as indicated by an average of 70 or above in appropriate level III university courses.


Language Proficiency Requirements:

You may be asked to provide evidence of your English proficiency to study at UNSW depending on your educational background and citizenship. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment. If you’re completing an Australian Year 12 qualification (e.g. NSW HSC or equivalent), you do not need to provide anything extra to prove your proficiency. Your qualification will be used as evidence of your English proficiency. If you do need to provide evidence of your English proficiency, this will be indicated in your application. You can prove this by providing evidence that you meet one or more of the following criteria: English language tests and university English courses Prior study in the medium of English Other qualifications If you need to improve your English skills before you start your degree, UNSW College’s Academic English Programs are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia. For entry into this degree, you must have one of the following: a Bachelor of Mathematics a Bachelor of Science with a major in mathematics, statistics or computer science a Bachelor of Data Science and Decisions an undergraduate degree in a cognate discipline as determined by the program authority You also need to have a sufficient background in mathematics and/or statistics and/or data science, as indicated by an average of 70 or above in appropriate level III university courses. English language requirements English language requirements You may be asked to provide evidence of your English proficiency to study at UNSW depending on whether you are from an English-speaking background or non-English speaking background. English language skills are vitally important for coping with lectures, tutorials, assignments and examinations - this is why UNSW requires a minimum English language competency for enrolment. If English is not your first language, you’ll need to provide proof of your English proficiency before you can be given an offer to study at UNSW. You can do this by providing evidence that you meet one or more of the following criteria: English language tests and university English courses Prior study in the medium of English Other qualifications If you need to improve your English skills before you start your degree, UNSW College’s Academic English Programs are for you. The programs are suitable for various English levels and help you prepare for university studies and life in Australia. Check the specific English language requirements for this program Select from the options below Please selectEnglish TestUNSW Global's University English Entry CoursePrior Study Results Which applies to you?

  • What will I study? What will I study? Full program structure Which applies to you?
  • What will I study? What will I study? Full program structure The Graduate Diploma in Data Science and Decisions will teach you to become skilled in the manipulation and interpretation of large amounts of data. You'll gain a broad advanced knowledge and skills in Data Science in mathematics and statistics, computer science and economics. In this diploma you'll apply advanced mathematical and computational techniques mixed with business acumen to real-world problems involving complex data sets. Through this degree, you'll gain knowledge and skills in formulating problems involving both qualitative and quantitative data. You'll graduate with advanced knowledge of statistics, computer science, applied mathematics, business strategies and how they relate to data science. You'll take core courses including: Database Systems Business Economics Economics of Strategy Multivariate Analysis Statistical Inference You'll have the option of studying other core courses including: Foundations of Computer Science Principles of Programming Machine Learning and Data Mining Data and Machine Learning Fundamentals of Data Science Introduction to Statistics and Statistical Computations Go to the handbook Future careers Future careers Future careers The era of Big Data With quintillion bytes of data generated each day, it’s safe to say that we’re in the era of big data. Social media, the Internet of Things (IoT), machine learning and artificial intelligence are driving the trends in data and influencing the role of data scientists. As the big data boom rolls on, your skills will be central to a range of roles in information-rich industries including: internet search fraud detection targeted advertising logistics planning speech recognition image analysis genetic risk prediction virtual reality customer loyalty product development autonomous vehicles. What does a career in this field look like? Data science is a multidisciplinary field of study that blends mathematical methods, statistics, computing, business decisions and communication. Data scientists translate user data into insights that help companies understand their audience and personalise their products or services. Uncovering new insights and predicting trends has become vital in the retail, environmental, not-for-profit, IT and professional services sector. Career opportunities in data science span across many industries from start-ups to established corporations including Coles, AirBnB, Spotify, Netflix and Greenpeace, to name a few. As a data scientist, you might be asked to calculate the price of new products for the market, determine warehouse or retail employee schedules, make predictions of environmental phenomena and model the spread of new diseases. How to apply How to apply How to apply Applications must be submitted through our Apply Online portal. We encourage you to submit your completed application as early as possible to ensure it will be processed in time for your preferred term. Some high-demand programs and Faculties with limited places may have an earlier application deadline or commencement date. Find out more. Ready to start your application? Apply now For most international students, applications are submitted via our Apply Online service. We encourage you to submit your completed application as early as possible to ensure it will be processed in time for your preferred term. Some high-demand programs with limited places, may have an earlier application deadline or may have an earlier commencement date. Ready to start your application? Apply now Fees & Scholarships Fees & Scholarships Fees & Scholarships Ready to start your application? Apply now Fees & Scholarships Fees & Scholarships Fees & Scholarships Commonwealth Supported Places 2024 Indicative CSP First Year Fee $10,000 2024 Indicative CSP Fee to Complete Degree $10,000 All places within this degree are Commonwealth supported. This means that if you receive an offer from UNSW Sydney as a domestic student, you will have a substantial proportion of your fees subsidised by the Australian government. Start your application today with our guide on how to apply. 2024 Indicative First Year Full Fee $39,000 2024 Indicative Full Fee to Complete Degree $39,000 $ 2024 Indicative Full Fee to Complete Degree $39,000
  • The indicative Commonwealth Supported Place (CSP) fees are an estimate based on the relevant student contribution band/s for a Commonwealth Supported Place undertaking a standard full-time load of 48 units of credit per year (1 Equivalent Full Time Student Load/1 EFTSL).
  • To find out more about Commonwealth Supported Places visit Postgraduate Commonwealth Support. Indicative fees are a guide only and have been calculated based on the typical enrolment patterns of students undertaking the degree/program. The indicative fee listed here is an estimate for tuition only and excludes non-tuition fees and charges. The amount you pay will vary depending on the calendar year of enrolment, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (48 units of credit (UOC) per year). You should not rely on indicative fees as fee increases are assessed when required and may exceed the indicative figures listed here. Actual fees are calculated on enrolment. More information on fees can be found at the UNSW fees website. 2024 Indicative First Year Fee $54,000 2024 Indicative Fee to Complete Degree $55,000 $ 2024 Indicative Fee to Complete Degree $55,000
  • Fees are subject to annual review by the University and may increase annually, with the new fees effective from the start of each calendar year.
  • The indicative fees listed here are based on an estimated average and are for tuition only other fees and charges are not included. The amount you pay will vary depending on the calendar year to enrol, the courses you select and whether your study load is more or less than 1 Equivalent Full Time Student Load (8 courses per year). Indicative fees are a guide for comparison only based on current conditions and available data. You should not rely on indicative fees. More information on fees can be found at the UNSW fees website. Indicative fees to complete the program have been calculated based on a percentage increase for every year of the program. Fee increases are assessed annually and may exceed the indicative figures listed here. Indicative fees to complete the program include tuition plus an estimate of study-related costs of approximately $1,000 per year. To find out more about other costs, visit UNSW International. Scholarships At UNSW, we award over $83 million in scholarships each year. We pride ourselves on rewarding excellence and making university accessible to students from all walks of life. Whether you’re a domestic or international student, our range of scholarships, prizes and awards can support your journey. Explore Scholarships Top 20 Worldwide QS World University Rankings, 2024. Most Employable Graduates AFR Top 100 Future leaders Award. Most Employable Graduates AFR Top 100 Future leaders Award. Leading Innovation #1 Australian uni attended by start-up founders. UNSW has a strong focus on industry collaborations with opportunities for students to network. Jason Chan Environmental Planner Uni life your way at UNSW Science See echidnas, elephants and the Australian outback as Georgia Badgery talks us through her unforgettable moments as a UNSW Science student. Our Alumni opens in a new window Do you dream of solving big challenges with science? Discover where a career in science, technology, engineering or maths can take you. You might be surprised by how many options there are. Career Support Welcome to UNSW Science UNSW Science is at the forefront of scientific discovery, teaching and innovation. Discover how you can use science to improve lives and communities around the world. Our Faculty opens in a new window Data science Watch our LinkedIn Live event where UNSW Science Prof. Scott Sisson discusses data science, one of the most sought-after skills for employers worldwide. Our Degrees Discover our study areas When you study science at UNSW, the areas you can explore are almost limitless. Learn more about our schools and the exciting degrees they offer. Our Schools 1234 Top UNSW.edu.au Engage with us Contact us Find an expert Careers at UNSW Education at UNSW Study UNSW International Degree Finder UNSW.edu.au Engage with us Contact us Find an expert Careers at UNSW Education at UNSW Study UNSW International Degree Finder Student Portal Academic Calendar News, Media & Events Newsroom UNSW events Research news About us Our rankings & reputation Faculties and schools Campus locations Centres and institutes UNSW Library UNSW Sydney NSW 2052 Australia Telephone: +61 2 93851000 UNSW CRICOS Provider Code: 00098G TEQSA Provider ID: PRV12055 ABN: 57 195 873 179 Acknowledgement of Country UNSW is located on the unceded territory of the Bidjigal (Kensington campus), Gadigal (City and Paddington Campuses) and Ngunnawal peoples (UNSW Canberra) who are the Traditional Owners of the lands where each campus of UNSW is situated. The Uluru Statement Follow Us Follow Us Follow UNSW on LinkedIn Follow UNSW on Twitter Follow UNSW on Facebook Follow UNSW on Instagram Follow UNSW on TikTok Follow UNSW on YouTube Follow UNSW on WeChat Follow UNSW on Weibo Privacy statement Copyright & Disclaimer Accessibility Site feedback Complaints x?
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