Internships & Capstone Projects
Students in the Master of IT in Business (Analytics) Programme may complete a capstone project or internship as part of the curriculum.
Students may do an Analytics related internship in a company for 6 months. The internship will enable the students to apply and integrate what they have learnt and give them the opportunity to gain real-world working experience in Analytics. Internship is done during the school term. Students will do their internships during the day and attend classes in SMU in the evenings on days when classes are scheduled. Internship may involve payment from company, and the stipend amount is to be agreed between the student and the company.
Internships are available on a competitive basis. To successfully clinch an internship, students are required to undergo the company’s selection process which may include interviews and assessments.
The general effort required for the Capstone Project is minimum 182 hours per student. The capstone project will enable the students to apply and integrate what they have learnt and give them an opportunity to delve in greater depth, into one or more of the topics covered in the courses. Faculty supervisors will be assigned to guide the students. Desirable length of project would be around 6-10 months, 6 months (Full Time), 10 months (Part Time).
Capstone projects are available on a competitive basis. To successfully clinch a capstone project, students are required to undergo the capstone project sponsor’s selection process which may include interviews and assessments. In some cases, capstone projects may include compensation to the student either in the form of an allowance or a scholarship.
MITB (Analytics) Capstone Project Topics
The following lists a sample of the Capstone Projects undertaken by our students.
Using past mail marketing data to predict who are the customers that would likely respond to the next round of marketing campaign.
Using past data to analyze sales figures of different types and brands of watches so as to manage the inventory.
Using online Twitter data to analyze and improve on Credit Card offerings.
Using past data to devise statistical model to predict the sequence of visiting the different parts of the theme park by different visitor segments.
Using fuzzy logic to recommend the next call marketing action. (i.e. when to make the next call)
Understanding Brand Reputation through Twitter Data.
Sea Port Operator
Using past data to optimize Ship Berths allocations.
Using past data to identify "No Show" profile, predict "No Show" and make recommendations to reduce "No Show"
Project title : Using Analytics to identify the no show pattern of patients contacted via SMS Reminder
By : Seemanta Khataniar
Project title : Banking Loyalty Program (Text Mining)
By : Lai Boon Hui
Mode of Work
Students work on the projects individually, in collaboration with a sponsoring company, under the supervision of an SMU appointed advisor. In cases where the project scope is large enough to allow for the involvement of more than one student, two may work on the project provided each student makes a distinct contribution towards the project.
Students may be expected to work on-site at the sponsoring company's premises if necessary. This may help them in understanding the business domain, problem definition and even in gaining access to information systems, documents and resources available within the company. An allowance may be paid to the students for their work, at the discretion of the company. The work arrangement may assume the form of an internship with the sponsoring company.
Strictest confidentiality is maintained between the sponsoring company, the students and SMU advisor. Prior permission will be sought from the company before the use of any information, in any way, such as for presentation and report purposes.
We Welcome Company Sponsors
Interested company sponsors will be required to provide the following information which will be shared with the students:
- Brief description of the project
- Role of the student
- Skill sets required (technical and non-technical)
- Project duration
- Expected deliverables
The Graduate Programmes Office (GPO) will liaise with the company to forward the profiles of interested students for consideration. Companies select the students via a process of interviews. Upon confirmation from the company, the GPO will formalize the sponsorship with a letter of sponsorship and the assignment of a suitable SMU advisor to the project.
We welcome interested company sponsors to contact us at firstname.lastname@example.org
Last updated on 27 Nov 2015 .