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Master of Computer Science:
Machine Learning and Big Data

                    @ Conestoga

Stream: CS & IT

Credentials: Master’s Degree 

Duration: 2 Years

Intake: February, July, November

Institute Type: Public University

Location: Wollongong

Home | PG Courses | Australia | CS & IT | Master’s Degree | Master of Computer Science: Machine Learning and Big data

A specialised graduate degree program in computer science that focuses on big data and sophisticated machine learning methods is called a Master of Computer Science (Machine Learning and Big Data). Utilising tools like Python, R, Hadoop, and Spark, students gain knowledge of method development and huge dataset analysis. Graduates can work as data scientists, machine learning engineers, or data analysts across a range of sectors. The course satisfies the rising need for big data analytics and machine learning specialists. The Master of Computer Science gives graduates the ability to solve complex real-world problems by integrating computer science methods with effective management strategies, and by developing and deploying computer applications.

The institute was founded in 1951, and has a long history. Additionally, it has a solid record of placements. The University of Wollongong’s Master of Computer Science (Machine Learning and Big Data) program is a great option because of its good academic standing and emphasis on computer science and data analytics. A dynamic and friendly environment is provided by the university’s Wollongong location, and there are numerous career options in the machine learning and big data sectors thanks to Australia’s booming tech sector.

  • The institute is home to more than 34,000 students
  • More than 80.2% of the students get placed within 6 months of graduation
  • The average salary of graduates is 100,000 AUD / INR 56,37,052
  • In the global universities category ranking by U.S. News & World Report, the University of Wollongong’s rank is #186th position for 2022-23

Univfinder Top Course

Stream: Computer Science & Information Technology

Course: Master of  Computer Science – Machine Learning and Big Data

Duration: 2 years

Location: Wollongong

Course Code: 083839K

Tuition: AUD 34,400/INR 19,18,381 (per year)

Intake: February, July

About the Course

Machine learning is an essential approach to analyzing and extracting useful information from a wide range of big data; it provides the fundamental tools for big data analytics. There are numerous applications requiring professionals with advanced skills in machine learning and big data. These applications include image recognition, computer vision, speech recognition and natural language processing, intelligent robotics, smart cars, automation, online search and recommendations, financial trading and risk management, healthcare, and personal and public security.

The Master of Computer Science (Machine Learning and Big Data) focuses on preparing Information and Communication Technology (ICT) professionals with a Bachelor’s degree in Computer Science or Information Technology for the challenges of rapidly advancing ICT technologies. This degree will be a valuable asset to students who are seeking to further their careers in managerial roles related to information technology. It can also prepare ICT professionals for entry into research degrees: Master of Philosophy and Ph.D. Students will study subjects in Machine Learning Algorithms and Applications, Big Data Analytics, and Computer Vision Algorithms and Systems. They will acquire the ability to solve complex real-world problems and meet the demands of society for big data scientists and specialists in a wide range of fields. They will be able to put theory into practice with an individual capstone project.

Job Opportunities in Australia

The average compensation for software developers is AUD 100,000, and there are over 4,000 unfilled positions. Web developers, information security specialists, and network administrators all have more than 2,000 job opportunities each, and this demand is expected to keep rising in the upcoming years.