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A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured similar to data mining.
As an area of expertise and field, data science is defined as a “concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, statistical classification, cluster analysis, data mining, databases, and visualization.
The degree is relatively new, with graduate schools, business schools, and data science centers often housing the programs. Data science degree programs have emerged to address the growing and unique need for data scientists who can provide insight into multiple organizational issues and interests across several disciplines.
When Harvard Business Review called data scientist “The Sexiest Job of the 21st Century” the term became a buzzword,and is now often applied to business analytics, or even arbitrary use of data, or used as a term for statistics. While many university programs now offer a data science degree, there exists no consensus on a definition or curriculum contents.
Data scientist was listed as the “Best Job in America” for both 2016 and 2017by employment website Glassdoor. It was also listed by Forbes as the top job for work–life balance
Expert master degree
Data Scientists are in demand in the information age, where big data is ever changing and ever challenging. Data Science extracts value from data assets, helping us understand the past, better manage the present, and effectively plan for the future. It plays a critical role in advancing industry, commerce, governance and research so graduates skilled in this area are highly sought after.
The Master of Data Science (MDS) teaches you how to explore data and discover its potential – how to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations. With a degree in science, engineering, arts or computing, you can pursue a Master of Data Science, gaining skills in data management, data analytics and data processing – skills needed in this fast-growing field.
Monash University (/ˈmɒnæʃ/) is a public research university based in Melbourne, Victoria, Australia. Named for prominent World War I general Sir John Monash, it was founded in 1958 and is the second oldest university in the state. The university has a number of campuses, four of which are in Victoria (Clayton, Caulfield, Peninsula, and Parkville), and one in Malaysia. Monash also has a research and teaching centre in Prato, Italy, a graduate research school in Mumbai, India and a graduate school in Suzhou, China. Monash University courses are also delivered at other locations, including South Africa.
Monash is home to major research facilities, including the Monash Law School, the Australian Synchrotron, the Monash Science Technology Research and Innovation Precinct (STRIP), the Australian Stem Cell Centre, Victorian College of Pharmacy, and 100 research centres and 17 co-operative research centres. In 2019, its total revenue was over $2.72 billion (AUD), with external research income around $462 million. In 2019, Monash enrolled over 55,000 undergraduate and over 25,000 graduate students. It has more applicants than any other university in the state of Victoria.
Monash is a member of Australia’s Group of Eight research universities, a member of the ASAIHL, and is the only Australian member of the M8 Alliance of Academic Health Centers, Universities and National Academies. Monash is one of the Australian universities to be ranked in the École des Mines de Paris (Mines ParisTech) ranking on the basis of the number of alumni listed among CEOs in the 500 largest worldwide companies. Monash is consistently ranked among the world’s top 55–70 universities in the QS World University Rankings.
At a glance
Course Details
| Location | On-campus at Clayton: Full time & part time |
|---|---|
| Duration | 1.5 or 2 years full-time depending on prior qualifications. See entry requirements. |
| Start date | Semester One (February), Semester Two (July) and October Intake |
| Qualification | Master of Data Science |
Master of Data Science (C6004)
Congratulations on your offer and welcome to Monash IT!
This page is designed to help you choose what you are going to study in your Master of Data Science. It will help you make a decision about what units you will enrol in, because enrolling in units is how you formally accept your offer.
Quick facts
| Course title | Master of Data Science |
|---|---|
| Short title | MDS |
| Course code | C6004 |
| Credit points | Entry level 1 = 96 credit points Entry level 2 = 72 credit points |
| Course duration | Entry level 1 = 2 years full time Entry level 2 = 1.5 years full time |
| Time limit | Entry level 1 = 6 years Entry level 2 = 5 years |
We acknowledge and pay respects to the Elders and Traditional Owners of the land on which our four Australian campuses stand. Information for Indigenous Australians
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Master of Data Science from Monash University – AustraliaDepartment: Faculty of Information technology
Master of Data ScienceFind more courses at this university (31 courses available)All coursesMasters coursesBachelors coursesEngineering coursesComputers coursesScience coursesHumanities coursesBusiness coursesBScMBABBAMSMBBSBE/BtechMIMMAMaster of Data ScienceChange Course
| About this course | |
|---|---|
| Duration | 1-2 Years |
| Level | Masters Program |
Course Description
- The program provides the skills needed to deal effectively with the areas of data analysis, data management or big data processing and prepare students for a career in data science
- The program includes topics in statistical and exploratory analysis, data formats and languages, processing of massive data sets, management of data and its role and impact
- The course has two streams to choose from Data science and Advanced data analytics
- Graduates will be able to apply the major theories in the field of data analysis and data exploration to some characteristic problems
- Upon successful completion of the program, students demonstrate the ability to investigate, analyse, document and communicate the core issues and requirements in developing data analysis capability in a global organisation
- This program normally takes 2 years to complete but if student has relevant entry qualifications he/she may receive credit and be able to complete the course in 1.5 years or 1 year
– US News & World Report 2021View All RankingFees & ExpensesAUDINR1st year tuition fees
| Fees components | Amount |
|---|---|
| Tuition & fees | INR 24,00,652 |
Other expenses in 1st year
| Fees components | Amount |
|---|---|
| Hostel & Meals | INR 8,15,100 |
| Insurance | INR 34,159 |
| Transportation | INR 1,02,084 |
| SSAF | INR 17,276 |
| Total | INR 9,68,619 |
Calculated at the exchange rate of 1 AUD = INR 56.09|
Tuition & expenses were last updated on 25ᵗʰ November 2020Entry Requirements
| Entry requirements for this course | |
|---|---|
| Class 12th | No specific cutoff mentioned |
| Bachelors | 60.0%Applicants who satisfy the below condition will complete the degree in 2 years:An undergraduate degree, not necessarily in IT, with at least pass a 60% average or equivalentApplicants who satisfy the below condition will complete the degree in 1.5 years:An undergraduate degree in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including programming and databases, and University level 1 mathematics or statistics, with at least a pass a 55% average or equivalent, ORA four-year honours degree with a research thesis consisting of at least 37.5% of a one-year full-time load and with at least a pass a 55% average or equivalentApplicants who satisfy the below condition will complete the degree in 1 year: A four-year honours degree in a cognate discipline relating to IT, or a business, science or engineering degree with an IT major including programming and databases, and University level 1 mathematics or statistics, with a research thesis consisting of at least 37.5% of a one year full time load and with at least a pass a 55% average or equivalent |
| Exams | TOEFL : 79Writing: 21, Listening: 12, Reading: 13, Speaking: 18IELTS : 6.5With no band lower than 6.0PTE : 58With minimum Communicative skills scores of 50 |
| Additional info | ELP requirement may be exempted if applicant has completed final four years of secondary schooling at an institution that teaches entirely in English |
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