نظرة عامة على البرنامج

Introduction to Applied Data Science

The Applied Data Science program is a postgraduate course that develops students' understanding of data science and its applications. Data science is a rapidly growing field with a worldwide skills shortage, making it an attractive career option.

Program Overview

The program introduces students to the fundamentals of data science, including large data sets, computational capacity, and solutions for business, industry, and other areas. Students will develop their communication and teamwork skills, which are essential attributes for a data scientist.

Courses

The program consists of foundation courses, advanced data science competencies, and domain-specific competencies.

• Foundation courses:
  • DATA401 Introduction to Data Science
  • COSC480 Computer Programming
  • MBIS623 Data Management
• Advanced Data Science Competencies:
  • DIGI405 Texts, Discourses and Data: the Humanities and Data Science
  • STAT462 Data Mining
  • DATA420 Scalable Data Science
  • STAT448 Big Data
• Domain-specific competencies:
  • Students can choose from a range of 400 or 600-level courses in subjects such as Biological Sciences, Computer Science, Data Science, Digital Humanities, Economics, Environmental Science, Finance, Geography, Geology, Mathematics, Physics, Psychology, and Statistics.

Elective Courses

Some examples of elective courses that students have enrolled in recently include:

• COSC421 Advanced Topics in Security
• COSC424 Secure Software
• COSC428 Computer Vision
• DATA415 Computational Social Choice
• DATA416 Contemporary Issues in Data Science
• DATA417 The Trustworthy Data Scientist
• DATA419 Online Communities and Social Networks
• DATA422 Data Wrangling
• DATA423 Data Science in Industry
• DATA424 Information is Beautiful
• DATA425 Foundations of Deep Learning
• DATA430 Medical Data Informatics
• BIOL459 Genomics
• GISC404 Spatial Analysis
• GISC412 Spatial Data Science
• GISC422 Foundations of Geographic Information Systems
• HLTH462 Quantitative Health Methods
• INFO620 Information Systems Management
• INFO634 Data Analytics and Business Intelligence
• POLS443 Science, Technology and Environmental Policy
• STAT446 Advanced Generalised Linear and Multivariate Models
• STAT447 Official Statistics
• STAT450 Advanced Statistical Modelling
• STAT455 Data Collection and Sampling Methods
• STAT456 Time Series and Stochastic Processes
• STAT463 Advanced Multivariable Statistical Methods and Applications

Master of Applied Data Science Capstone Project

The Master's program includes a compulsory capstone project course, DATA601 Applied Data Science Project (45 points), which involves working in a team to solve real-world data science problems.

Career Opportunities

Graduates of the Applied Data Science program will be prepared to work in a range of industries, including government, corporates, the IT sector, market research, finance, agriculture, and transport. The skills acquired by graduates will include:

• Advanced knowledge in data science
• The ability to use data to inform workplace solutions
• Planning and implementing data-informed projects
• Working in multidisciplinary teams
• An understanding of what programming can offer

Qualifications

The Applied Data Science program offers two qualifications:

• Postgraduate Diploma in Applied Data Science
• Master of Applied Data Science