SMU MITB Graduate Stays in Singapore: Job and Interview Tips

Updated 2026/10/16

Today’s guest is Yi-Ning, who graduated from SMU MITB in 2023 and stayed on to work in Singapore. She shares what studying in Singapore was like and how the MITB program helped her land a job abroad. After graduating from National Taipei University, Yi-Ning moved to Singapore for SMU MITB, interned at Estée Lauder in Singapore during the program, and stayed in Singapore to work after graduation.

SMU Master of IT in Business (MITB): Program Overview

New technologies are moving fast, and the Master of IT in Business (MITB) keeps updating its curriculum to follow business IT trends, with courses designed around employability. MITB sits within the SMU School of Computing and Information Systems (SCIS) and offers four popular tracks:

• Analytics
• Artificial Intelligence
• Financial Technology & Analytics
• Digital Transformation

In the QS 2025 Business Analytics Masters Rankings, SMU MITB placed 2nd in Asia and 24th worldwide, and it has been in Asia’s top two for six years running. The program teaches technology in a business context and combines it with leadership, management and communication. Students get hands-on project work in class and plenty of paid internship options, which improves their job prospects and helps them move up in their careers. If you want to stand out in a competitive industry, SMU MITB is one of the best options available.

• A curriculum that keeps up with the industry

MITB courses follow the latest IT market trends and technologies, and the whole curriculum is built around getting students hired.

• World-class faculty

The MITB faculty have extensive industry backgrounds. They teach theory, but they put more weight on applying it, and they bring real workplace scenarios into class.

• Strong employment rate, with graduates hired by top companies

The Class of 2023 employment report shows that close to 90% of graduates found jobs within 6 months of graduating, with an average annual salary of S$72,990 (about NT$1.75 million). Most joined well-known global companies such as Amazon, Citibank, Julius Baer, Google, Grab, Facebook, Lenovo, McKinsey, OCBC, Shopee, Standard Chartered and UOB.

• A good place to build your network

MITB has a strong reputation with many multinationals and top firms, so students can grow their network and find internships through it. MITB also runs exchange programs, and students can spend time at partner universities in Finland, Japan, Indonesia, the Netherlands, Spain and other countries.

• Plenty of internships and strong career services

MITB offers the longest internship period of any university program in Singapore (6 months), giving students more room to build industry skills. Unlike other SMU programs, every MITB track has its own career advisor who works with the university’s career services office to help students apply for internships.

MITB partners with companies and organizations around the world to run on-campus career fairs, networking events and company visits, which help students build close ties with Singapore’s business community.

Background and Career

Please introduce yourself briefly, including your current role in Singapore and your studies at SMU MITB.

Hi everyone, I’m Yi-Ning. I work as a strategic planning analyst in electronics manufacturing. I came to Singapore for my master’s in August 2021 and did a 6-month internship during the program.

Why did you move from economics into data analytics and business strategy? Was there a particular experience that pushed you?

I had already studied the theory in my economics degree, and I wanted to pick up some technical skills so my resume would show a theory-plus-tools profile. In college I took statistics, Python and other data analytics courses and enjoyed them, so I felt comfortable heading in that direction.

The SMU MITB Experience and Its Effect on My Career

Why did you choose SMU MITB? How did it help you move from an economics background into tech and analytics?

When I was choosing schools, my main concern was getting a job. MITB requires a 6-month internship to graduate, Singapore gives graduates a one-year visa to look for work, and SMU is well recognized in Singapore. In my experience, the degree really does turn into lines on your resume.

* Note: The MITB program includes two credits that count toward graduation. You can earn them through an internship, and international students almost always do. Some local students earn them by completing a Capstone Project or taking two extra courses instead, which is also allowed. So the internship mentioned above is optional, not mandatory.

Which MITB courses or programs helped your career most? (For example SQL data management, Tableau visual analytics, Python text analytics.)

I really liked Data Analytics Lab, Visual Analytics and Data Management, and they helped me build a portfolio. The materials were good in pretty much every course, but for job hunting you’ll need to put in extra time on your own to sharpen your coding.

Which SMU MITB resources (professors, career coaching, alumni network and so on) helped you most in finding a job in Singapore?

The career coach’s resume feedback, the mock interviews and the campus recruiting portal were all very useful. I got my internship through the portal. During the internship we had to write a monthly review and give a presentation at the end. When I was writing my resume later, I was grateful the school made us do that. Those reviews matter! 

Each MITB track has a practicum manager who handles internships. Externally, companies looking for interns in a given field know who to contact, and my guess is that this role leads to more internships aimed specifically at MITB students. Internally, the practicum manager also follows up on how each internship is going.

What SMU MITB Is Worth, and Advice for Future Students

Overall, how did SMU MITB prepare you for a career in data analytics and business? What does it offer that similar programs or schools might not?

Every MITB course has an individual or group project, so it’s a chance to build up a portfolio. As for advantages, I’d say it’s the wide range of courses and the freedom to choose. You can take courses from other tracks: if you want to go into finance you can take fintech track courses, and if you want to sharpen your coding you can take AI track courses. Some courses are offered twice a year, so you can plan around course load and your internship without worrying that missing a course this term means losing the chance.

About half the class are local students or foreigners already working in Singapore. If you want to stay and work in Singapore, spending more time with locals helps you understand the local workplace and culture.

What would you tell someone interested in SMU MITB? What skills or mindset should they prepare before moving to Singapore so they can settle in faster?

An open mind, I think. Singapore is a multiracial country with four official languages. You’ll see familiar Chinese faces and hear people speaking Mandarin and Hokkien, but the accents, pronunciation and word choices differ from Taiwan. That’s Singaporean culture: a little bit of everything mixed together, which I find really interesting. Most Singaporeans know Taiwan well and are very friendly to Taiwanese people.

---

Bonus: Straight from an SMU Professor and Interviewer

For this post I also invited an SMU professor who interviews applicants to talk about program design, how students build their skills, and what industry needs, so you can get a closer look at what makes the school distinctive and how it supports students’ careers. It’s the first time I’ve had someone from a school share first-hand insights directly, and the views on both the program and the workplace are full of practical substance. (The professor’s answers below are the original English replies.)

Program Design and Strengths

Could you share the core goals of the SMU MITB program? How does the curriculum balance technical skills with business insight?

The core focus of the MITB curriculum is to develop strong computing skills that are industry-relevant, along with critical thinking, analytical abilities, data expertise, and soft skills like communication and learning-to-learn. Learning-to-learn is the ability to adapt and acquire new knowledge to stay relevant in a rapidly evolving technological landscape.

The programme balances technical and business skills by combining theoretical knowledge with practical applications. Hands-on class assessments and projects develop computational and analytical thinking while helping students integrate AI and technology into business contexts. Team-based projects, presented to professors or industry sponsors, enhance essential communication skills essential for real-world applications. We also collaborate with industry professionals through guest lectures, interactive sessions, and real-world data projects builds adaptability and problem-solving abilities. Students also have opportunities for internships, offering large-scale practical experience, or capstone projects focused on cutting-edge research, equipping them with advanced skills for industry challenges.

Which MITB courses or projects do you think help students’ careers most? What specific skills do students usually gain from them?

Our programme’s core curriculum (three courses) and track core courses (four courses) are highly beneficial for students’ career development. The core curriculum equips students with foundational skills in Python programming, computational thinking, evidence-based analysis using statistics, business modeling (converting business problems into mathematical problems), and problem-solving, all essential for a career in data science. The Analytics track core courses focus on advanced technical skills, including business intelligence, machine learning, and data management using relational (SQL) and big data (NoSQL) databases. Students also gain insights into technology architecture, covering areas like data governance, security, scalability, and integration. These skills prepare students to effectively support businesses in data-driven projects and address complex challenges in the field.

Industry Connections

How does MITB make sure students’ skills match what industry needs? Are there company-partnered projects or internships that build practical experience?

Collaboration with industry is integral to our programme, ensuring students gain industry-relevant skills. At the programme level, we involve industry partners in curriculum design by incorporating their feedback to align our courses with current industry needs. Out-of-class contexts include seminars where students engage with industry experts to gain broader insights. At the class level, industry guest speakers and industry-sponsored class projects bring real-world perspectives directly into the learning environment. Students can participate in internships and capstone projects, gaining hands-on experience and mentorship from industry to apply their skills in practical settings. Additionally, at the school level, various research centers collaborate with national research agencies and private companies, offering students opportunities to engage in impactful projects and further develop practical skills. These multi-level collaborations ensure students are well-prepared to meet industry demands with valuable, real-world expertise.

What skills or traits do companies value most in data analytics and business technology today? How does MITB help students develop them?

The most important skills in business analytics are an analytical mindset and critical thinking. These enable you to question data and model results to address problems effectively and support sound business decision-making. That said, technical skills are equally important: sharpen your programming skills, strengthen your understanding of statistics and mathematics, and gain a deep knowledge of how algorithms and machine learning models work, including their parameters. These technical foundations are essential for applying analytics effectively.

MITB develops these skills through rigorous class assessments and projects. Faculty members mentor students from idea conceptualization to model design and evaluation. Team-based projects foster collaboration and learning from peers with diverse backgrounds. Students present their work and receive constructive feedback, ensuring they are well-prepared for the analytics field.

Student Growth and Outcomes

Have you seen MITB graduates make an impact at work? Could you share some success stories showing how they applied what they learned in the program?

Certainly, our graduates have achieved success in various data-related roles such as data analyst, data scientist, data engineer, consultant, and product analyst. For instance, one graduate joined a large eCommerce company applied machine learning models for anti-money laundering. Another graduate (from Taiwan), who was a fresh graduate when she joined MITB, had no prior computing background, secured an internship as a data intern at a Big Four consulting firm and successfully converted it into a full-time role as a Digital Solutions Associate. Similarly, another Taiwanese alumnus who previously worked as a marketing specialist transitioned into a product analyst role at a major technology company. She now leverages her data analytics skills to enhance operational efficiency. These examples show that our graduates not only secure valued positions but also effectively apply their skills to solve business challenges.

What advice would you give students applying to MITB? What background or skills should they bring to get the most out of the program?

To be honest, your background or prior skills matter less than your attitude. What’s most important is a positive mindset, a willingness to learn, and the openness to build on your strengths while addressing your weaknesses. Our programme is designed to train students from diverse fields, including business, finance, accounting, sciences, arts, economics, engineering, and computing. Regardless of your starting point, our industry-relevant curriculum and practice-based assessments ensure meaningful learning.

My advice to applicants is to understand your motivation for pursuing this master’s degree, maintain a positive and inquisitive attitude, collaborate closely with teammates (who often bring valuable experience and domain knowledge), and enjoy the journey. With this approach, you will naturally maximize your learning outcomes!

What Makes an Ideal Candidate

What kind of candidate is the best fit for MITB? In the interview, which aspects do you pay most attention to (for example technical background, problem-solving, business insight)?

An applicant best suited for MITB demonstrates a willingness to learn, a curious mindset, logical thinking, and a reasonable appreciation of mathematics. During the interview, I look for candidates who can clearly explain their past projects, think and present information logically when asked for more details, and show humility; it’s perfectly fine not to know everything. Humble individuals with a strong desire to learn are well-positioned to seize the many opportunities available in the programme.

For candidates from non-technical backgrounds, what basic technical skills or learning potential do you hope to see?

My answer remains the same as before: I look for applicants who are willing to learn, have a positive attitude, understand themselves well, and can present solutions logically. Applicants should also be open to developing key skills such as programming and math.

What the Interview Looks For

What questions do you usually ask to judge whether a candidate has the right skills and mindset? How should candidates prepare to show they understand data analytics and business?

Typically, I will have a casual conversation to understand the applicant’s career aspirations and experiences better. In some cases, we may discuss a practical business scenario involving data, giving the applicant an opportunity to demonstrate their understanding of how data can solve real-world problems. To prepare for the interview, it’s important to have a clear understanding of your career motivations and be ready to engage in deeper discussions about your past projects or any scenarios presented during the interview.

Is there a candidate performance or answer that stuck with you, especially one that showed a distinctive perspective or strong analytical skills?

I wouldn’t say there’s one applicant who left a super strong impression, but generally, the ones who do well are well-prepared, confident, and natural; they’re just themselves. The interviews aren’t scary, and the interviewers are friendly folks, don’t worry, no need to stress. My advice? Just be yourself, relax, listen to the question, and answer it thoughtfully. And please, skip the rehearsed scripts. You’re much better off being genuine.

Workplace Expectations and Advice

As an interviewer, what advice do you have for incoming MITB students? Which skills should they focus on so they stand out at work after graduating?

Sure! First off, technical skills and soft skills go hand-in-hand. From what I’ve seen, employers love students who are clear in their concepts (so, yes, pay attention in class and do your assignments and projects diligently in MITB; it’s worth it!). They also appreciate people who are independent and take initiative. When you’re given a task, don’t just wait for instructions: analyze the problem, explore solutions, and try things out. If you’re unsure, clarify requirements, but don’t forget to work well with others. Be respectful, meet deadlines, and contribute positively to your team. Employers notice these things, and trust me, they’ll help you shine after graduation.

Once graduates start working, which traits or abilities matter most for their careers?

“Learning-to-learn” and maintaining a positive attitude towards feedback! MITB equips our graduates with competitive technical skills for a digitally-driven market, but in an era of rapid technological change, continuous learning and adaptation are crucial. The “learning-to-learn” skill emphasized in MITB curriculum should be applied in the workforce to keep growing and evolving. Feedback and change are inevitable: evaluate what needs improvement, how to implement it, and which technologies are truly beneficial. Don’t chase every “hype” trend; use the critical and analytical thinking skills gained from MITB to find solutions that address your organization’s real pain points. If you focus on solving problems at hand, won’t career progress follow naturally?