MTech in Enterprise Business Analytics 12 months Postgraduate Programme By National University of Singapore (NUS) |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

55,800 SGDTuition Fee/year

Main Subject Area

Business AnalyticsMain Subject Area

Programme overview

Main Subject

Business Analytics

Degree

MTech

Study Level

Masters

Study Mode

On Campus

The NUS Master of Technology in Enterprise Business Analytics programme (MTech EBAC) is meticulously crafted to meet the industry's pressing need for adept data scientists and machine learning specialists, with a keen focus on their role in advancing enterprises through the power of data and AI. Our program is a gateway to specialist, expert and leadership positions in data science.

MTech EBAC stands out by offering holistic training in key aspects of data science and AI, from exploratory data analysis and predictive modelling to natural language processing, recommender systems and big data engineering. Professionals will be equipped with the essential technical expertise to harness data, machine learning and enabling technologies to develop and deploy effective data-driven solutions. These solutions are designed not only to enhance decision-making processes but also to optimise operations, drive profitability and elevate overall user experiences within enterprises.

Programme overview

Main Subject

Business Analytics

Degree

MTech

Study Level

Masters

Study Mode

On Campus

The NUS Master of Technology in Enterprise Business Analytics programme (MTech EBAC) is meticulously crafted to meet the industry's pressing need for adept data scientists and machine learning specialists, with a keen focus on their role in advancing enterprises through the power of data and AI. Our program is a gateway to specialist, expert and leadership positions in data science.

MTech EBAC stands out by offering holistic training in key aspects of data science and AI, from exploratory data analysis and predictive modelling to natural language processing, recommender systems and big data engineering. Professionals will be equipped with the essential technical expertise to harness data, machine learning and enabling technologies to develop and deploy effective data-driven solutions. These solutions are designed not only to enhance decision-making processes but also to optimise operations, drive profitability and elevate overall user experiences within enterprises.

Admission Requirements

6+
320+
85+
  • Bachelor's degree preferably in Mathematics, Statistics, Econometrics, Management Science, Operational Research, Science or Engineering and a grade point average of at least B
  • Demonstrate proficiency in the English Language (written and spoken)*
  • An acceptable GRE score (overseas applicants) or pass NUS-ISS Entrance Test
  • Have received a favourable assessment at admissions interview conducted by NUS-ISS
  • Preferably two years of relevant working experience
  • The NUS-ISS Entrance Test or GRE and interview requirements will be waived for applicants with relevant Bachelor's degrees from NUS, NTU, SMU and SUTD with Second Upper or above Honours.
  • NUS-ISS Graduate Diploma in Systems Analysis alumni who wishes to apply to NUS-ISS Master of Technology programmes may be waived of Entrance Test/GRE and interview requirement if they meet the GPA's requirements*
  • Admission is on competitive basis; eligible students will be offered admissions on a first-come first-served basis. 

1 Year
Aug
Jan

Tuition fees

Domestic
33,480 SGD
International
55,800 SGD

Scholarships

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