Master of IT in Business (Artificial Intelligence) Curriculum
Course Listing for MITB (Artificial Intelligence)
Effective August 2018
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(C3 as a pre-requisite)
Course modules listed are subjected to changes
+ Half Module
^ Pre-requisite Course
# Graduation Requirement (Without Credit)
- Minimum of 5 CUs from Series C courses (including compulsory C.1, C.2)
- Minimum of 3 CUs from Series D courses (including compulsory D.5)
- Minimum of 1 CU from either B.5 or B.13
- Internship or Capstone project or 2 CUs as coursework
- 2 CUs from any other electives
- C.8 (Graduation requirement, without credit)
MASTER DEGREE PROGRAMME COMPLETION
Students have to complete and pass a total of 13 Course Units (CUs) in order to graduate with the MITB degree and the Artificial Intelligence Track certificate. One CU is equivalent to a full term course with 12 course sessions. Each course session entails 3 hours of in-class time plus additional out-of-class time. Some courses are one full course unit (36 hours of in-class time over 12 course sessions). Some courses are one half course unit (18 hours of in-class time, spread over 6 or 7 sessions).
In addition, students must complete the SMU Postgraduate Professional Development Series of seminars, workshops and social activities. Students from different postgraduate programmes will have the opportunity to interact through these activities, further enhancing the SMU postgraduate experience by expanding your network.
PROGRAMME DELIVERY & COMPLETION MODEL
The MITB programme runs its academic year based on that of the Singapore Management University, which operates on 3 regular terms. Each of these 15-week regular terms is then further divided into two 7-week mini-terms with a 1-week break. Therefore, courses in the programme are offered across 6 mini-terms in any given academic year.
Most MITB class sessions are 3 hours long, and are conducted in a highly interactive manner. Class sessions combine lectures with discussions, hands-on lab sessions, problem-solving practice classes, and group work. The faculty is assisted by full-time instructors and student teaching assistants. In addition, students also meet with industry experts who share their experiences and perspectives through regular seminars organised by the MITB (Artificial Intelligence) programme.
All classes are held either on weekday evenings from 7pm onwards, Saturday mornings, or Saturday afternoons. These timings have been chosen to accommodate the working schedules of part-time working students, and full-time students who might be engaged with industry attachments.
CHOOSE BETWEEN FULL-TIME OR PART-TIME STUDY
The Master of IT in Business (Artificial Intelligence) is an intensive programme with 2 options for completion:
- Full-time candidature: A minimum of 1 year to a maximum of 2 years (from Aug 17 intake onwards).
- Part-time candidature: A minimum of 2 years to a maximum of 4 years.
Students can switch between these 2 modes of candidature at any time, but the change can only be made once.
CAREER DEVELOPMENT SERIES
Career Management is a proactive process to career development, career exploration, career decision making and personal learning which may be facilitated by a range of processes and activities.
Whether you are contemplating a mid-career change or embarking on your first job, the acquisition of career management skills together with employment related skills, you have gained through your course will enhance your competitiveness in pursuing your chosen career and enable you to:
- make well informed realistic decisions about your future career plans;
- present yourselves to potential employers as attractive and appropriate
- maximize your chances of postgraduate level employment that fulfills your potential
SMU’s Career Development Series is a series of six workshops aimed at enhancing your career :
- Career Interest
- Career Focused Writing
- Networking Strategies
- Interviewing Skills
- Digital Profile
- Personal Branding
* curriculum subject to change
Last updated on 14 Dec 2017 .