| Course Name: | Masters of Data Science |
| Course Institution: | University of Canberra |
| Course Department: | Faculty of Science and Technology |
| Course Duration: | 24 month(s) |
| Course Fee: | INR 3300000 |
| Course Mode: | Full Time Regular Classroom |
| Course Location(country): | Australia |
| Course Location(city): | Canberra |
| Course Level: | Masters |
The Master of DS program by University of Canberra will introduce you to a whole new world of data interpretation. Still, it will also teach you the skills to recognize, interpret, and finally manage trends at micro and global scale.
Data analysis and modeling underpin all aspects of social and community development. Thanks to the internet and smartphones, there has been a dramatic growth in the scale and complexity of data collected and analyzed across industries, including sports, business practices, scientific discoveries, government policy, and healthcare.
The industry demands trained specialists who can understand and interpret vast amounts of data (big data) to help process and navigate this vast and ever-growing mass of data. Along with this, they should be able to provide useful and ethical ways to protect the privacy of that information.
This course uses a unique combination of interdisciplinary coursework, a strong background in research methodology, and comprehensive training via industry-based projects (work-integrated learning). It will uniquely position graduates of this course to become leaders in this field in either industry, the government sector, or academia.
This unique program offers the chance to specialize in Sports Analytics, Business Intelligence, Artificial Intelligence & Computational modeling.
Why should you do the Masters of Data Science program?
The Master of DS program by University of Canberra aims to solidify students’ different foundation skills in data and statistics such as big data basics, statistical programming for data science, and relational databases and warehouses. Student further gain in-depth knowledge in data analytics courses such as:
- Predictive Analytics
- Unsupervised Methods in Analytics
- Research Methods
- Data Visualisation
The Master of DS program by University of Canberra is structured with project teams while getting practical experience in modern data science techniques and practices.
Why should you do the Master of DS program by University of Canberra?
The University of Canberra, Australia, has consistently been ranked In the top 10 universities in Australia. It is recognized as the no.1 in ACT for graduate employment and the fastest-rising university in the world. The university offers a young, dynamic, professionally-oriented environment. It is located in Australia’s capital city and with unique offerings to the world.
First, the University demonstrates an advanced and fully operational set of specialized skills and knowledge in underpinning mathematics and statistics to enable students to understand the appropriate tools to analyze data. UC graduates are professional: Employ up-to-date coupled with relevant knowledge and skills.
Second, you learn an advanced and integrated understanding of the common tools for programming, development, and data management to enable basic database querying for data access, data processing, visualization, and machine learning.
Third, the Master of DS program by University of Canberra offers a unique Work Integrated Learning (WIL) as an integral component of students allowing them to gain valuable hands-on experience and build professional relationships through real work or work-like placements. It ensures students have access to the right people and places, UC works hard to foster close industry connections and regularly engages with industry partners who possess both the skills and experience to provide specialized knowledge and training opportunities.
In brief, UC graduates are global citizens: They use creative technology in their learning and professional lives.
UC graduates are lifelong learners: They can transform raw data into features that are useful for predictive models.
Curriculum
Duration
The program duration for the Master of DS program by University of Canberra is 36 month(s) full time.
Eligibility Criteria
Interested candidates for the Master of DS program by University of Canberra can apply by meeting the following eligibility criteria:
- A Bachelor degree in Information Technology or Mathematics from a recognized higher education institution; OR
- A Graduate Certificate in Data Science or Graduate Diploma in Data Science or equivalent from a recognized higher education institution.
English language entry requirements
International students who speak English as a foreign language must have obtained one of the following standards within the last two years before admission.
English language test
- IELTS total [6.0]
- IELTS reading [6.0]
- IELTS writing [6.0]
- IELTS speaking [6.0]
- IELTS listening [6.0]
Fees
The estimated fee for the entire program duration is INR 3300000.
Important Dates
The course intake for Masters of Data Science takes place in the following months:
Semester 1 2020
- On-time applications – 1 December of the prior year
- On-time change of course applications close – 1 December of the preceding year
- Orientation Week – 3 February 2020
- Classes commence – 10 February 20
Semester 2 2020
- On-time applications – 1 June of that current year
- On-time change of course applications close – 1 June of that current year
- Orientation Week – 27 July 2020
- Classes commence – 3 August 2020
How To Apply
The application process for applying in the Masters of Data Science program is easy – just follow these simple steps:
- Select the course you wish to apply for
- Review the admissions criteria
- Confirm English language requirements
- Explore our pathway programs
- Check visa requirements, especially if you are under 18
- Check UC’s admission dates.
- Have your supporting documents ready
- Apply through our online application form
Center
The University of Canberra
11 Kirinari St, Bruce ACT
2617, Australia
Career Opportunities
The field of data science is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organization. Analytics, science, data, and reasoning are becoming embedded in decision-making processes, every day and everywhere in the business world.
Student can expect to get offered job roles in the following fields:
- Data scientist
- Data engineer
- Data analyst
- Business analyst
- Statistician
- Software developer
- Data warehouse operator and manager
- Computer network analyst
- Consultant
