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4.2    Master of Science (Venture Creation)

  Home / NUS Bulletin AY2020/21 / School of Continuing and Lifelong Education / Graduate Education / Master of Science (Venture Creation)

The MSc (Venture Creation) is an inter-disciplinary programme offered in collaboration with the NUS Enterprise, NUS Business School, Faculty of Engineering, Faculty of Science, School of Computing and Yong Loo Lin School of Medicine.

Designed to transform mindsets and accelerate translation of ideas into solutions, the programme targets aspiring entrepreneurs wanting to launch new ventures with success by providing mentorship in business development and access to NUS technologies, as well as opportunities to network for market access

Period of Candidature

Only full-time studies are offered. The period of candidature is as follow:

  • Full-time studies can be completed in 12-18 months. The maximum candidature is 24 months.

Degree Requirements

Candidates must satisfy the following requirements to be conferred the degree of MSc (Venture Creation):

  • Complete a minimum of 40 MCs with 28 MCs in essential core modules and 12 MCs in elective modules;
  • Attain a minimum CAP of 3.00; and
  • Satisfy any other additional requirements that may be prescribed by the Programme Management Committee for MSc (Venture Creation), or the University.

List of Modules

  1. Essential Core Modules (28MCs):
    • TR3301 Summer Programme in Entrepreneurship
    • TR5302 Experiential Entrepreneurship Internship
    • TR5049 Lean Startup Practicum
    • BMS5405S New Venture Creation
  2. Elective Modules:
Faculty Module Title MCs
Business-related BMS5103 Entrepreneurial Strategy

BMS5104 Current Trends in Growth Markets

BMS5105 Strategy and Big Data BMS5107 Ethical Leadership and Corporate Strategy

BMS5108 Macroeconomics and Finance: Perspectives from Asia

BMS5109 Strategy: Bridging the Planning – Implementation Divide

BMS5110 Managerial Economics

BMS5111 Legal Issues in Business

BMS5113 Venture Capital

BMS5114 Asian Business Environment

BMS5115 Strategic Negotiations

BMS5202 Global Supply Chain Management

BMS5203 The Knowledge & Innovation Economy 4.0

BMS5204 Cross-Border Business Management in the Digital Age

BMS5205 Business Analytics

BMS5206 Business Analytics with R

BMS5302 International Finance

BMS5303 Valuation and Mergers & Acquisitions

BMS5304 Selected Topics in Finance: Private Equity

BMS5305 Entrepreneurial Finance

BMS5306 International Financial Management

BMS5307 Financial Markets and Institutions

BMS5308 Personal Finance and Wealth Management

BMS5309 Investment Banking

BMS5310 Financial Management of Family Business

BMS5311 Corporate Finance

BMS5404 Becoming Future Prepared Global Leaders

BMS5406 Asian Leadership

BMS5407 Workplace and Corporate Deviance

BMS5502 Marketing Practice & Impact

BMS5503 Pricing

BMS5504 Marketing Analysis and Decision Making

BMS5505 Marketing in a Digital Age

BMS5506 Consumer Behaviour

BMS5507 Behavioral Economics

BMS5508 Design Thinking & Business Innovations

BMS5509 Consumer Culture Theory

BMS5510 Marketing Strategies in the New Economy

BMS5511 Sustainability Marketing

BMS5602 Business Analysis and Valuation

BMS5702A Asian Management and Leadership: Learning From Zheng He

BMS5702B Managing Business Networks

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Management of Technology-related MT5007 Management of Technological Innovation

MT5006/IE5211 Strategic & New Product Development

MT5010 Technology Intelligence & IP Strategy

MT5911 Venture Funding

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Technology-related CS5228 Knowledge Discovery and Data Mining

CS5242 Neural Networks and Deep Learning

CS5272 Embedded Software Design

CS5321 Network Security

CS5322 Database Security

CS5331 Web Security

CS5339 Theory and Application of Machine Learning

CS5421 Database Applications Design and Tuning

CS5422 Wireless Networking

CS5424 Distributed Database

CS5425 Big Data Systems for Data Science

CS5439 Software Security

DSC5221A Managing the Financial Supply Chain

EE5020 Data Science for Internet of Things

EE5023 Wireless Networks

EE5026 Machine Learning for Data Analytics

EE5027 Statistical Pattern Recognition

EE5060 Sensors and Instrumentation for Automation

EE5061 Industrial Control and Programming

IND5001 Introduction to Industry 4.0 & Applications

IND5002 Digital Physical Integration in Industry 4.0

IND5003 Data Analytics for Sense-making

IND5004 Digital Infrastructure and Transformation

IND5021 Managing the Digital Supply Chain

IND5022 Data Analytics for Smart Manufacturing

IND5024 Strategic Procurement in a Digital World

IS5003 Platform Design and Economy

IS5004 Enterprise Architecture

IS5005 Digital Engagement

IS5006 Intelligent System Deployment

IS5007 Strategising for Global IT-enabled Business Success

IS5116 Digital Entrepreneurship

IS5117 Digital Government

IS5126 Hands-on with Applied Analytics

IS5128 Digital Innovation

IS5151 Information System Security Policy & Management

IS5152 Data-Driven Decision Making

IS5451 Pervasive Technology Solutions and Development

MDG5227 Bio-Innovation & Entrepreneurship

MDG5236 Pathways to Biomedical Innovation and Enterprise

MDG5237 Biomedical Innovation Capstone*

ME5513A Fatigue Analysis for Additive Manufacturing

ME5614A Special Project in Additive Manufacturing

ME5615B Post-processing for Additive Manufacturing

MLE5301 Metallic & Ceramic Materials in Additive Manufacturing

MLE5302 Polymer Materials in Additive Manufacturing

ST5227 Applied Data Mining

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*subject to approval

Study Schedule

The inaugural cohort will be admitted to start in Semester 2 (i.e. January) of the academic year AY2020/2021. The recommended study schedule is illustrated as below.

Full-time Study Schedule
1st Year of studies, Sem 2 AY2020/2021: Core Modules (8 MCs)
Preallocated one 8-MC module
Core Modules (4 MCs)
Preallocated one 4-MC module

Elective Modules (4 MCs)
Select from 2-MC and 4-MC modules

1st Year of studies, Special Term Part 1 AY2020/2021: Core Modules (4 MCs)
Preallocated one 4-MC module
1st Year of studies, Special Term Part 2 AY2020/2021: Core Modules (12 MCs)
Preallocated one 12-MC module
1st Year of studies, Sem 1 AY2021/2022: Elective Modules (8 MCs)
Select from 2-MC and 4-MC modules

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