Masters of Data Science by RMIT University

Course Name:	Masters of Data Science
Course Institution:	RMIT University
Course Department:	School of Business IT and Logistics
Course Duration:	24 month(s)
Course Fee:	INR 3600000
Course Mode:	full time regular classroom
Course Location(country):	Australia
Course Location(city):	Melbourne
Course Level:	Masters

 

Masters of Data Science at The Royal Melbourne Institute of Technology (RMIT) focuses on equipping students with a balanced mix of skills in analytics, computer science, and statistics that allow students to excel in business decision-making, government planning, and corporate strategy.

Aim

Masters of Data Science aims at preparing the students for a career in fields involving economic growth, scientific research, corporate strategy, and public policy, along with the use of cloud technologies that help in the analysis and management of big data sets.

Opportunities

Masters of Data Science provides students with the opportunity of being exposed to real industrial experience by taking on a capstone project, which will provide them with hands-on and practical experience in analyzing data in a business setting.

This corporate environment experience allows students to apply the knowledge that they learn in this course and develop a solid skills base for their professional life. As Masters of Data Science course consists of theoretical knowledge as well as practical experience, it gives students the right skill set and character to become influential leaders within their organizations.

Teaching methods

The Masters of Data Science program is delivered on campus and teaches students through a mix of approaches, including lectures, practical classes, tutorials, project work, and seminars using face-to-face, online, and other flexible delivery modes. RMIT’s Masters of Data Science course focuses on providing education that connects formal learning with practical experience.

Industry connections

Professors teach subjects of this course with compelling research backgrounds along with links to the industry. There are sessions with guest lecturers, sessional teachers, and leaders working in the industry as well.

The initial development and the underway improvement of the Masters of Data Science course are made by RMIT’s Industry Advisory Committee, which consists of employers and industry professionals with data science expertise. Professors teaching this course are involved in RMIT’s Center for Information Discovery and Data Analytics, a hub for advanced data analytics projects that supports researchers and helps Australian and Victorian businesses compete on a global scale.

This Center applies user, text, and data analytics research to industry-driven projects that resolve problems and provide efficiencies in key areas, including smart cities, logistics, health, environment, smart cities, and transportation.

RMIT has collaborations with Melbourne Data Science Meetup, which happens to be one of the largest of its kind and provides a clear route into the community of data science socially and professionally.

Duration

The duration for Masters of Data Science course by RMIT are as follows:

• 1.5 years full-time or three years part-time (with advanced standing)
• Two years full-time or four years part-time (without advanced standing)
• One year full-time or two years part-time, Graduate Diploma of Data Science available as an exit award.

Contact Hours

A full-time study of the Masters of Data Science program typically requires students to spend four nights per week on campus. This includes 16 hours of contact and about 30 hours of personal study sessions. Opting to do this degree part-time lightens the load for students.

Program structure

YEAR 1
Students need to complete all of the following mandatory courses:

• Practical Data Science with Python
• Programming Fundamentals
• Database Concepts
• Applied Analytics
• Data Wrangling
• Advanced Programming

The Masters of Data Science students are also required to opt for one of the following courses for that year.

• Big Data Processing
• Data Visualization and Communication
• Case Studies in Data Science

YEAR 2
The Masters of Data Science students need to complete one of the following courses.

• Computational machine learning
• Data mining

They also have to complete any two of the following courses:

• Case Studies in Data Science
• Big Data Processing
• Data Visualisation and Communication

YEAR 2: PROGRAM AND RESEARCH OPTIONS
Students pursuing Masters of Data Science have the advantage to choose from three options mentioned below :

Choice 1: Program Options
The Masters of Data Science students have to complete the following course:

Data Science Postgraduate Project

Students are also required to select three of the courses mentioned below:

Choice 2: Research Option 1

Students have an option the complete the three courses mentioned below

• Research Methods
• Algorithms and Analysis
• Minor Thesis/Project

Or

Choice 3: Research Option 2

Students can choose three out of the four courses mentioned below

• Research Methods
• Algorithms and Analysis
• Minor Thesis/Project Part A
• Minor Thesis/Project Part B

Admissions

Students interested in taking admission in Masters of Data Science by RMIT University can apply here.

Eligibility

The student will be eligible for admission if he or she meets the following criteria:

• An Australian bachelor’s degree in computing, science, engineering, or health, or statistics. The minimum GPA requirement is 2.0 out of 4.0.
  OR
• An Australian bachelor’s degree with a GPA of at least 2.0 out of 4.0, and relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a statistician, programmer or equivalent.

Additionally, if students wish to get their Industry experience considered at the time of admissions, they need to provide detailed CV dates of employment, previous positions, and position responsibilities.

Fee Structure

The annual fee of the program is AU$28,800. Additionally, students also have to pay a fee of AU$308 as Student services and amenities fee. They will also have to pay for field trips, equipment, and textbooks.

Career

After this course, students can apply for the following professions:

• Data Scientist
• Analytics Specialist
• Business Intelligence Analyst/Developer
• Data Analyst
• Data Architect
• Data Engineer
• Data Miner
• Research Scientist
• Web Analyst.

Studying at RMIT gives students the opportunities to be physically located close to Melbourne’s data professionals in the central business district, with various opportunities for forming links to local industry and jobs, including meet-ups, seminars, and events, as well as other networking occasions. Moreover, students might end up becoming influential leaders within their organizations. They also have a research stream option in which students work with a data science researcher on more technicalities of the field.

Scholarships

RMIT awards more than 2000 scholarships every year to recognise academic achievement and assist students from a variety of backgrounds.

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.