| Course Name: | Masters of Data Science |
| Course Institution: | The University of Melbourne |
| Course Department: | Melbourne School of Engineering |
| Course Duration: | 24 month(s) |
| Course Fee: | INR 4536250 |
| Course Mode: | full time regular classroom |
| Course Location(country): | Australia |
| Course Location(city): | Melbourne |
| Course Level: | Masters |
Masters of Data Science by the University of Melbourne aims at building the skills of students in statistics and computer science, granting the fact they come from only of these backgrounds.
The course consists of core subjects that provide the students with substantial knowledge and a strong base in data science. It will also lead them to possess the technological and analytical skills required to manage and interpret large collections of data. The course also consists of elective subjects that allow students to specialize in the area of their choice, hence providing flexibility. The course also includes a vital data science capstone project where students will apply their knowledge on a practical level and showcase their skills. The University of Melbourne believes that students require more than just technical skills to succeed in their careers. Therefore, this course allows students to a well-built combination of skills by selecting professional skill subjects like scientific communication. Students can also complete an internship in science or technology-related workplace and get course credit for it.
Course Structure
Masters of Data Science by the University of Melbourne is a 200-point program, split up in the following manner:
The program has customized Elective subjects for students based on their academic background and interests.
Candidates need to check if they have prerequisite subject requirements:
- Students with a statistics background are required to complete computer science prerequisite subjects.
- Candidates with a computer science background are required to complete statistics prerequisite subjects.
- Those who have both backgrounds aren’t required to take up any prerequisite subjects.
Duration
The Masters of Data Science by The University of Melbourne is 2-years full-time regular classroom course.
Further Studies
If students complete the optional research project at the end of the course, they could qualify to undertake a Ph.D.
Experience Overview
The capstone will provide students with hands-on practical experience to help them understand the use of their technical skills to tackle a real data science question. This gives them a chance to showcase their abilities to future employers and prove that they are ready to enter the field of data science.
Students also get opportunities to interact with researchers in the field of data science beyond seminars and lectures. They also have access to the following research centers and organizations as they are all located on campus:
- Australian Mathematical Sciences Institute
- ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS)
- The Statistical Consulting Centre
- Melbourne Integrative Genomics
Through this, students can develop their network with others who have similar interests.
In the same way, students also have chances to interact and develop their network with industry and other employers throughout the year.
The university also provides them with volunteering opportunities through the Science Student Ambassadors program.
Students can also add overseas studying experience in their degree by pursuing their optional industry internship subjects abroad.
Eligibility Criteria
The university shall consider the candidates who meet the following criteria for admission:
- An undergraduate degree with a major in data science, computer science, or statistics. The minimum weighted average mark (WAM) should be 65 %.
- They should have completed 12.5 points of university-level computer science. The content should computer programming focused and the following subjects or their equivalents :
- MAST10006 Calculus 2
- MAST10007 Linear Algebra.
- During selection, the Selection Committee considers prior academic performance. The program does not require any work experience.
- The criteria for WAM and subject requirements mentioned above are for students who have completed their undergrad from the University of Melbourne. The committee will consider subjects equivalent to the course chosen by the student if he/she is not from the University of Melbourne.
- Suppose the student does not have a major in statistics or computer science, but it is still interested in studying Data Science. In that case, they can purse the Graduate Diploma in Data Science. After completing this course with a minimum WAM of 65%, they will be eligible for pursuing Masters in Data Science. This allows them to complete both the courses in 2.5 years.
English language requirements.
Following are the minimum test scores required:
Fee
The total fee of the entire Masters of Data Science course by the University of Melbourne is INR 4536250.
Students also have options like Commonwealth Supported Place (CSP), HECS-HELP, Australian Fee Places, FEE-HELP, which provide loans and financial assistance.
How to Apply
If the Masters of Data Science by the University of Melbourne interests you and you want to find out how to apply. You can click here to fill out the application form, and you’ll be good to go.
Application dates
The last date to apply for Mid-year (August) 2020 intake is 12 June 2020. No late applications will be accepted. Students can expect a decision for their application after 6 to 8 weeks of submission.
To apply, the following documents will be required:
- Evidence will be required that the candidate meets the English Language requirements.
- The students should attach the transcripts of all the completed courses along with an explanation of the grading system.
- Syllabus descriptions of the subject-specific prerequisites.
Careers
Graduates of this program have the following career options:
- Data scientists
- Data Analysts
- Software Engineers
- Data Infrastructure Engineers
- Business Intelligence analysts
- Statisticians
Employers in the field of data science include the following:
Consulting firms
- EY
- KPMG
- Accenture
Financial services companies
Citibank
ANZ
CBA
NAB
IT and telecommunication companies
- IBM
- Microsoft
- Telstra
Government departments and organizations
- Australian Bureau of Statistics
- Universities and public research institutions
- CSIRO
- Technical and professional skills
Students who graduate this course successfully will be able to exhibit advanced independent critical inquiry, analysis, and reflection. They also have a strong sense of intellectual integrity and the ethics of scholarship. Further, they will also have an extensive understanding of modern statistical methodology and computing.
Students will have distinguished achievements in writing, research or project activities, communication, and problem-solving. They will possess the skills of creative and critical thinking and an aptitude for continued self-directed learning. Additionally, they will have the ability to examine critically, evaluate, and synthesize knowledge across a broad range of disciplines.
You may have a look at our extensive coverage on other analytics courses. Disclaimer: This information is based on the research carried out by AI Monks. The information in this article should be used only for indicative purposes. AI Monks is not responsible for any information that may be different from the actual scenario.