MASTER OF TECHNOLOGY

Transcription

1 MASTER OF TECHNOLOGY IN ENTERPRISE BUSINESS ANALYTICS Learn to lead as an innovative DATA SCIENTIST CREATE effective GROWTH STRATEGIES for ENTERPRISES Scan QR code to find out more

2 Overview As the volume of data, in particular, unstructured data, continues to expand at an unprecedented rate, organizations will need to build their capability in business analytics to remain competitive. The ISS Masters programme will groom business savvy data specialists to analyse data to gain valuable insights, and develop effective solutions to help companies address their various challenges. - Mr Ronnie Tay, former CEO, InfoComm Development Authority, Singapore. The use of information technology has enabled businesses to gather ever-mounting volumes of data internally and externally, which can overwhelm management if such useful resources are not catalyzed to drive growth. In recent years, Business Analytics has been helping organizations across industries gain powerful insights to become smarter, more productive, and better at making predictions. Behind this transformation are data scientists who have been trained to help companies develop new ways of acquiring, organizing, managing and analyzing the mass amount of data to improve competitive advantage. As a result, more and more companies are seeking the help of such talents to plan and manage their advanced analytics needs and to handle the challenge on their existing IT infrastructure due to the huge data volumes, complex data sources and the speed to move the data in order to achieve better outcomes. Business analytics has become a prestigious and highly rewarding profession. In advanced Western economies rapidly increasing demand for such expertise has led to a big shortage of people with incisive analytics skills. The McKinsey Global Institute forecasts a 50 to 60 percent gap between the supply and demand of people with deep analytical talent; 140,000 to 190,000 unfilled positions of data analytics experts in the U.S. by How You Will Benefit The NUS Master of Technology in Enterprise Business Analytics prepares you to become a driver of change that knows how to harness a combination of information technology and business analytics in data-rich environments to offer effective growth strategies. It offers a promising pathway for students aspiring to be specialists, experts and leaders in enterprise business analytics. You will learn to work with and/or lead teams to expedite advanced analytics for creating business value through strategic use of data, analytics, models, and frontline tools. Upon completing the course, you will be able to: Help enterprise move towards stronger emphasis on computer programming and mathematics to develop high-performance analytics, as data volumes have become increasingly larger Translate massive and complex unstructured data into insights Produce more workable predictive models to solve a broad range of problems across various business functions and units Contribute to more effective business strategies and plans for sustainable growth, and help deliver effective tools for the frontline to create competitive advantage By contributing to more effective data and analysis management, you can help enterprise to focus on big decisions so that they gain better predictive ability that can translate to higher profits. Helping enterprise 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 and supply chain management. You will have the advantage of receiving a Master s degree from the National University of Singapore (NUS), which has been ranked amongst the top 30 in the world. As a Master s programme student, you will interact and learn with an experienced faculty and fellow students from various interesting backgrounds, and expand your professional network. With the NUS Master of Technology in Enterprise Business Analytics, you can become an innovative data scientist, and help enterprises make the difference.

3 Your Study Programme The Master of Technology in Enterprise Business Analytics is offered by the Institute of Systems Science (ISS) in collaboration with the Department of Industrial and Systems Engineering and the Division of Engineering and Technology Management of the Faculty of Engineering. This programme leads to the award of a Masters degree by the NUS. It is specifically designed to satisfy the demands of industry for practical Business Analytics skills and knowledge by developing new practitioners or upgrading entry level practitioners who have a suitable professional background such as IT professionals, but who lack the necessary academic fundamentals to move into Specialist or Expert positions in Business Analytics. Students are required to complete and pass a total of 15 courses 4 mandatory core courses, 8 basic electives and 3 advanced electives. As student projects are a key feature of the Master of Technology in Enterprise Business Analytics, they must pass a team-based project. The projects will provide students with the opportunity to practise their newly-acquired skills as part of a team in a real-life assignment, which is usually a consulting engagement for a sponsoring organization (typically the employer of one or more team members). This winwin arrangement allows students to apply the tools, techniques and methods they have learned, while the sponsoring organization will experience and assess new technologies, techniques and methods. Length of programme Team-based project Part-time 2 ½ to 5 years 1 year Full-time 1 ½ to 2 ½ years 8 months Option to undertake project as internship Admission Requirements To gain admission to the programme, candidates will be required to meet the following criteria: a. Possess an undergraduate degree, preferably in Science or Engineering and at least a grade point average of B. b. Preferably have 2 years of relevant working experience. IT, engineering and scientific professionals would make ideal candidates. However, those with work experience as domain experts, working in an environment where they can apply Business Analytics, would also be acceptable candidates. Please note that candidates 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. c. Pass an entrance test administered by ISS. Candidates with highly relevant Honours/Master s/phd degrees may be granted entrance test waiver after their applications have been assessed. ISS may, at its discretion, accept GRE general test in lieu of ISS entrance test in genuine cases (e.g. a candidate lives in a country where ISS does not administer entrance tests or candidate had valid reasons that prevented him or her from attending the ISS entrance test when it was administered.) d. Receive a favourable assessment at an admission interview conducted by ISS. e. High proficiency in the English language (spoken and written). International applicants who graduated from universities where English is not the medium of instruction may be asked to take TOEFL/IELTS. TOEFL: Paper-based test (580) IELTS: Result of 6.0 : Computer-based test (237) : Internet-based test (85) Note: Institution code of NUS-ISS for TOEFL is 2432 Fees Administrative fees Online Application Fee Access Card Fee Semester fees Part-time: minimum 5 semesters Semester Tuition Fees Semester Miscellaneous Fees Full time: minimum 3 semesters Semester Tuition Fees Semester Miscellaneous Fees Payable once, non-refundable S$20.00 S$21.40 Payable per semester S$7,350 S$ S$14,700 S$ Tuition fees are payable by GIRO only. The fees shown are at the prevailing GST rates, and may be subject to changes without prior notice.

4 Curriculum Core Courses (4 mandatory courses) Conducted by Institute of Systems Science & NUS Department of Industrial & Systems Engineering Enterprise Business Analytics Core Courses Foundations of Business Analytics Data Analytics Advanced Analytics Decision Making and Optimization Basic Elective Courses (choose 4 courses from the BA Techniques Group & any 4 other courses) Conducted by Institute of Systems Science Knowledge Engineering (KE) Techniques Computational Intelligence I Computational Intelligence II Text Mining Case Based Reasoning Knowledge Management Requirements, Design & Construction Software Requirements Engineering Human Computer Interface Object Oriented Design Patterns Architecting Software Solutions Software Maintenance & Evolution Software Prototyping Business Analytics (BA) Techniques Campaign Management Customer Relationship Management Web Analytics Analytics for Logistics Management Advanced IT Management Software Metrics & Process Improvement IT Law Managing IT Outsourcing & Subcontracting Business Process Management IT Service Management Agile Software Project Management Advanced Software Estimation Technopreneurship & Innovation Research on Advanced IT Topics I Research on Advanced IT Topics II Service Innovation Software Development Platforms & Technologies Enterprise.NET I Enterprise.NET II Enterprise Java Enterprise Integration Mobile Wireless Application Development IT Infrastructure Technology Information System Security Cloud Computing Advanced Elective Courses (select any 3 courses from those listed below) Institute of Systems Science Formal Methods Software Entrepreneurship Enterprise Architecture Department of Industrial and Systems Engineering Refer to full list here Division of Engineering and Technology Management Refer to full list here *Students may select only one advanced elective conducted by ISS. Required attendance at Core and Basic Elective courses Part-time Weekday class Mon-Fri 20 (max 5 full days per semester) Full-time Saturday class 9am 5pm 60 Project 60 days at own time For advanced elective courses offered by the Department of Industrial and Systems Engineering and the Division of Engineering and Technology Management, candidates are required to attend 3 hours of lectures per week during a semester. Each semester is about 13 weeks (excluding examinations). To view the full list of advanced of elective courses from Department of Industrial and Systems Engineering and the Division of Engineering and Technology Management, visit For more information on Enterprise Business Analytics core and elective courses, please us at isspostgrad@nus.edu.sg

5 Application 1 June 2013 Application opens 4 October 2013 Closing deadline 10 January 2014 Start of classes 1. To apply for the programme, candidates may do so via the Graduate Admission System (Coursework) 2. Upon online submission, applicants are also required to print out the completed online application form (click Summary located at Manage Applications page for printing). Please sign and submit the duly declared application form along with all supporting documents to the Institute of Systems Science, with a non-refundable application fee of S$ Please download and complete the Application Fee Form from our website. Cheque/bank draft should be made payable to National University of Singapore. Please write your name, mailing address, contact number and programme applied for on the reverse side. Alternatively, applicants can make e-payment by credit card (a printed receipt must be included with the application materials). Proof of payment together with the application materials must be sent to: MTech Programme Administrator Institute of Systems Science National University of Singapore 25 Heng Mui Keng Terrace Singapore More information: For further enquiries: isspostgrad@nus.edu.sg Tel: /1654 Fax: Other Programmes ISS also offers the NUS Master of Technology in Software Engineering and the NUS Master of Technology in Knowledge Engineering. Both are designed to help IT industry practitioners/students master advanced knowledge and acquire hands-on experience in applying higher skills to solve complex problems and provide leadership in innovation. NUS Master of Technology in Software Engineering The NUS Master of Technology in Software Engineering programme has been designed specifically to prepare IT professionals and managers to lead in exploiting advanced methodologies, technologies and tools to manage the software eco-system for better outcomes. The curriculum emphasizes the understanding and exploitation of advanced technologies and management disciplines. It focuses on the practical application of innovative techniques and developing the IT professional s capability for innovation. NUS Master of Technology in Knowledge Engineering The NUS Master of Technology in Knowledge Engineering curriculum emphasizes the concepts, techniques and methods of Intelligent Systems, and their application to the development of data analytics applications. It equips you with the knowledge, concepts and know-how to help companies create knowledge-intensive solutions and applications, using various methods, tools and technologies. National University of Singapore The National University of Singapore (NUS), founded in 1905, is the country s most established and largest in terms of courses and student enrolment. Known for its global approach to education and research, NUS has been ranked amongst the top 25 universities in the world. Institute of Systems Science The Institute of Systems Science (ISS), established in 1981 is a specialist training institute of the NUS providing IT graduate education and professional development courses to develop infocomm leaders and drive business and organisation innovation. It offers world-class graduate programmes and professional diplomas as well as professional development courses. The Institute also conducts research and provides consulting services to industry to help drive innovation in the public and private sectors. Over 75,000 infocomm professionals and 4,300 corporate customers have benefitted from the programmes and services.

6 Why Study At ISS ISS offers a suite of high quality practice-based programmes to help infocomm professionals innovate over the course of their careers and develop the competencies to implement methodologies, processes and best practices to achieve consistent and improved business results. ISS prides itself on maintaining world-class standards in its curriculum design and programme offerings. Its teaching staff comprise mostly of practicing professionals with an average of 22 years experience in Advanced Software Design and Development, Business Analysis, Business Analytics, Intelligent Systems, IT Project Management, IT Risk Management, IT Service Management, Enterprise Social Business, Process & Quality Management, Service Innovation and Strategic IT Management. W: sg.linkedin.com/in/issnus/ Analytics will define the difference LL/ATA/SE-DIP/Ts-15/V1.0 between the losers and winners in most of our industries going forward. - Tim McGuire, Director, McKinsey & Co.