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Graduate Certificate in Data Science
Course information for - 2025 entry
Offered at 0 locations
- Duration
Overview
Data is the new currency in industry and across the business world. The Graduate Certificate in Data Science teaches you the fundamental knowledge and hands on skills to extract meaningful insights and value from data. You’ll be introduced to programming language Python, learn key techniques and popular tools in data science, machine learning, artificial intelligence, and database design and implementation.
Made up of units accredited by the Australian Computer Society (ACS) and with Microsoft Azure Data Fundamentals certification incorporated into the units, the Graduate Certificate in Data Science brings real-world scenarios and applications into the classroom to ensure you’re job ready while also preparing you to articulate into the Master of Information Technology if you wish to further your study. All our units are embedded with the United Nations sustainable goals and units from this course can count towards a data science specialisation in the MBA.
Course details
Course structure
To complete the Graduate Certificate in Data Science, a student must complete 40 credit points (cp).
Course map
Graduate statement
AQF framework
Staff Profile
Dr Walayat Hussain
Head of the Discipline of Information Technology, Peter Faber Business School
Dr Walayat Hussain is currently the Head of the Discipline of Information Technology at Peter Faber Business School. He has an academic and industry experience of more than 17 years. Before joining the ACU, he was a Lecturer at Victoria University Melbourne, lecturer and a Post-doctoral Research Fellow at the University of Technology Sydney for seven years. He worked as an Assistant Professor and postgraduate program coordinator at the department of Computer Science at BUITEMS University for many years. He holds a PhD, Master, Postgraduate Diploma, and Bachelor's (Hons.) degrees in Computing and Information Systems from the UTS, AIT, BUITEMS, and Hamdard University.
Walayat has developed and revitalised multiple postgraduate and undergraduate subjects of Information Systems and has taught more than 30 subjects to undergraduate and postgraduate students. He has supervised several research students as the principal and co-supervisor to completion. Walayat's research areas are Service Computing, Business Intelligence, AI, Information Systems, Computational Intelligence, Machine Learning, and Decision Support Systems. He has contributed to theory and application and developed a new approach for making an optimal informed decision in complex systems. He has published more than 74 high-quality research documents.
Dr Mehdi Rajaeian
Lecturer, Peter Faber Business School
Dr Mehdi Rajaeian leads the Data Analytics stream in the Peter Faber Business School and teaches a variety of IT subjects such as Database Design, Data Analytics & Visualisation, Data Mining and Big Data. He is also engaged with industry through providing IT consultancy services. Dr Rajaeian has 15 years of academic work experience. Before his academic career Dr Rajaeian has worked in IT industry as System Analyst and IT Project Manager. His research interests include data analytics, decision support systems, IT Sourcing Strategies, Technology Adoption, and social and personal impacts of IT. Dr Rajaeian has completed a PhD in Information Systems at University of Southern Queensland, a MBA and a Bachelor of Industrial Engineering at Sharif University of Technology.