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Graduate Certificate in Data Science and Decisions

University of New South Wales

Australia

The University of New South Wales Kensington New South Wales 2052

Overview

The Graduate Certificate in Data Science & Decisions produces professionals who are skilled in the manipulation and interpretation of large amounts of data. It has been developed to train scientists to meet the strong and ongoing demand for data scientists and data analysts.

Graduates will have broad and advanced knowledge and skills in data science across the three areas of mathematics and statistics, computer science, and economics. This graduate certificate opens up a range of career opportunities in this ever-growing space. 

Study Option

  • Tuition Fees
  • Duration37 Weeks
  • Intake09 September 2024
  • Study TypeOnline & Campus
  • Campuses The University of New South Wales
    New South Wales ( Inc. Sydney )
    High St, Kensington, New South Wales 2052

Course Structure

This Graduate Certificate in Data Science and Decisions will teach you the skills for the manipulation and interpretation of large amounts of data. You'll graduate with a broad and advanced knowledge and skills in Data Science across the three areas of mathematics and statistics, computer science, and economics.

Core courses include:

  • Foundations of Computer Science
  • Principles of Programming
  • Business Economics
  • Economics of Strategy
  • Multivariate Analysis
  • Statistical Inference
  • Fundamentals of Data Science
  • Introduction to Statistics and Statistical Computations

Career Outcomes

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.

Potential careers

  • Business and Systems Analysts
  • Programmers, Statistician
  • Computer Network Professionals
  • Database and Systems Administrators, and ICT Security Specialists

Academic

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

Entry Requirement

IELTS: 6.5 overall (min. 6.0 in each subtest); TOEFL IBT (Internet Based): 90 overall (min. 23 in writing, 22 in reading, listening and speaking); Pearson (PTE - Academic): 64 overall (min. 54 in each subtest); C1 Advanced Cambridge: 176 overall (min. 169 in each subtest); C2 Proficiency Cambridge: 180 overall (min. 180 in each subtest); UNSW Global University English Entry Course (UEEC): Successful completion with a minimum overall grade of C+ and a minimum grade of C in the writing component.

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