Duration | 1 year (Full Time) |
Course Level | PG Degree |
International Students Admission Website | |
Type of University | Public |
Year of establishment | 1981 |
Highlights
- The program (MTech EBAC) is specifically designed to meet the industry demand for data scientists who can help organizations achieve improved business outcomes through data insights
- It is best suited for professionals seeking to focus on the following - methodical data exploration and visualization, diagnostic analytics, predictive modeling, text analytics, recommender systems, and big data engineering, etc
- The program prepares students for specialist, expert and leadership roles in enterprise business analytics to create business value through strategic use of data, analytics, models and frontline tools
- By contributing to more effective utilization and management of data analytics, students can help your enterprise to focus on big decisions so that they gain better predictive ability that can translate to higher profits
- Graduates helping enterprises to build better and more effective models will lead to improved outcomes such as more attractive pricing, higher levels of customer care, better market segmentation, and highly-efficient inventory management and finally profit maximization
- Graduates help enterprises move towards a stronger emphasis on computer tools and statistical and machine learning techniques to develop high-performance analytics capability
- Graduates are able to translate massive and complex unstructured data (e.g.: text) into insights
- The program produces predictive models to solve a broad range of problems across various business functions and units
- Graduates contribute to the development of more effective business strategies and plans for sustainable growth and competitive advantage
Fees components | Amount |
---|---|
Tuition & fees | INR 32,16,062 |
Fees components | Amount |
---|---|
Transportation | INR 92,730 |
Miscellaneous Fee | INR 31,034 |
Total | INR 1,23,764 |
Calculated at the exchange rate of 1 SGD = INR 61.82
|Tuition & expenses were last updated on 9ᵗʰ November 2022
Entry Requirements
Qualification | Entry Criteria |
---|---|
12th | No specific cutoff mentioned |
Graduation | CGPA - 3/4
|
TOEFL | Marks - 85/120 |
IELTS | Marks - 6/9 |
Other eligibility criteria | Preferably 2 years of relevant work experience as an IT, engineering and scientific professionals
Work ex. waiver-
Applicants with highly relevant degrees in Mathematics, Statistics, Econometrics, Management Science, Operational Research or similar, with consistently good academic records, may be granted a work experience waiver
ISS Entrance test-
Applicants must pass an entrance test conducted by ISS
Entrance test waiver-
applicants who possess highly relevant Honours/Masters degrees may be granted entrance test waiver
GRE can be accepted in lieu of ISS entrance test in genuine cases (eg: a candidate lives in a country where ISS does not administer entrance tests or candidate had valid reasons that prevented him/her from attending the ISS entrance test when it was administered
ELP waiver- Applicants who graduated from universities where English is the medium of instruction are eligible for ELP waiver |
Conditional Offer | Not mentioned |
Step 1: Prepare documents for application
- Additional Information to be completed under the “Questionnaire” or “Essay” section of the MTech application:
- Describe your projects undertaken during the last 5 years
- State your professional objectives for pursuing the MTech programme and describe your plans after completing this programme
- You are required to produce a 2-4 mins video statement about yourself:
- Introduce yourself
- Why did you choose the programme
- What can the programme offer you
- What are your long-term career aspirations
- Provide a link to your video (hosted on YouTube, social media, cloud etc.)
- Applicants must ensure that the video link is up otherwise, the application will not be processed
Step 2: Additional documents required
Step 3: Start your online application
Step 4: Application fees for this course
Step 5: Application deadline
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National University of Singapore, Institute of Systems Science