Updated 2026/10/16
Jason’s Memo
An MSBA (Master of Science in Business Analytics) is a career-focused professional master’s. This post brings together the application experiences of 9 alumni, with backgrounds ranging from sociology and political science to 6 years of work experience. The same three preparation points came up again and again:
- Shore up math and programming: Python, SQL, statistics, calculus and linear algebra, ideally with certificates or grades to show for it.
- Write about what your analysis found: show how data led to decisions, instead of only listing the models or software you used.
- Tailor “why school” for every program: talk to current students and be specific about courses, the capstone and career resources.
“What is an MSBA? I don’t have a programming background. Can I still get in?” I get asked this a lot. Over the past few years I’ve interviewed several alumni who studied business analytics. Some were admitted to Columbia, CMU and UCSD, and others went to NUS, UCL and Warwick. This post puts their experiences together: what you study in an MSBA, how the programs differ, and what to prepare for your application.
What is an MSBA, and how is it different from DA and DS?
MSBA stands for Master of Science in Business Analytics. Based on what the alumni shared, the degree generally looks like this:
- A career-focused professional master’s: Aviva says the MSBA is a professional degree that values practical skills and cares less about research ability. Tom also mentions that business school master’s programs pay close attention to graduate employment rates.
- You learn both tech and business: Fanny says UCSD’s MSBA is roughly 4:6 business to tech. Kiki says CMU’s MSBA is about 60% technical courses like Python, SQL and machine learning, and 40% business decision-making and management.
- Programs are usually short: CMU’s MSBA is 9 months, UCSD’s can be done in as little as 11 months, and UMN’s is 12 months. Columbia’s MSBA is officially three semesters over 18 months, but it can also be finished within 12 months. Ping also notes that UK master’s programs are only one year.
So how is BA different from Data Science (DS) and Data Analytics (DA)? According to Ping, Data Science leans more on a statistics background, and its courses focus on the principles behind statistical models. Business Analytics puts more weight on industry knowledge, because you need to be able to explain the data and the results. Aviva also points out that BA, DA and DS are quite different, so you should be clear on this before applying. Lulu breaks BA down into a formula:
Business Analytics = Computing Skill + Math/Statistics + Business Knowledge
She thinks you should have a good grasp of at least two of the three, and catch up quickly on the weaker one.
Who is an MSBA for?
These 9 alumni had very different backgrounds and applied at different points in their lives:
- Straight out of college: Aviva (NYCU Bai-Chuan program, majoring in finance) and Ping (NCCU) both applied as graduating seniors.
- Changing direction after a few years of work: Kiki was a PM for 2 years, Lulu worked for 3 years, Fanny spent 4 years at Appier, and Una applied after 6 years of work. Una even says: “Don’t be afraid of applying later in life! Being older is your advantage!” Having worked, you know much better what you like and what you’re good at.
- Not wanting to switch fully into coding: Kiki wanted to become a software PM, not an engineer, so she chose the MSBA, where the technical side isn’t too hardcore. Joseph’s observation is that most BA applicants come from business, while students with computing backgrounds more often choose MIS, DS or CS.
If you want to use data to make business decisions but don’t want to spend all day just writing code, an MSBA is well worth considering.
Comparing MSBA programs: the alumni’s backgrounds
| School / Program | Region | Alumni background |
|---|---|---|
| Columbia MSBA Read the interview | US | Aviva: NYCU Bai-Chuan program (finance major), applied as a graduating senior, GPA 3.9, research and startup experience, no GRE |
| CMU MSBA Read the interview | US | Kiki: NCCU Political Science, 2 years as a PM in tech, applied DIY while working |
| UCSD MSBA Read the interview | US | Fanny: NCCU Sociology, GPA 3.11, 4 years in data-related work at Appier |
| UMN MSBA Read the interview | US | Tom: NCCU double major in Economics and Risk Management, applied DIY, won scholarships from UMN and Emory |
| NUS MSBA Read the interview | Singapore | Una: NCCU International Business, 5 years as an ad optimizer + 1.5 years as a data consultant |
| SMU MITB (Analytics Track) Read the interview | Singapore | Lulu: NCKU double major in History and Statistics, 3 years as an MA in retail, also admitted to NUS MSBA |
| NUS Marketing Analytics & Insights Read the interview | Singapore | Amity: NCCU Advertising with a double major in Business Administration, 1 year in product marketing at ASUS ROG, also admitted to business analytics programs at Warwick, Bristol and Manchester |
| UCL MSBA Read the interview | UK | Ping: NCCU, applied as a graduating senior |
| Warwick MSBA Read the interview | UK | Joseph: NSYSU Business Administration, freshman-year GPA of only 2.01, recovered from sophomore year on |
What to prepare for an MSBA application
1. GPA and standardized tests
Joseph ranks GPA first, followed by the GRE/GMAT. He sees language scores as a threshold: once you clear it, you’re fine. His reasoning is that, apart from the MBA, BA and Finance are the most competitive programs at business schools.
A weak GPA doesn’t rule you out. Fanny’s GPA was 3.11. She used the optional document in the application system to explain why her college GPA was low, where her time had gone back then, and what she had done since graduating to make up for it. She ended up with offers from 8 schools. Tom took data structures and algorithms during his extra semester before graduating, so his transcript showed programming ability. If your GPA isn’t high, see also how a low GPA affects your application and how to make up for it.
Should you take the GRE? Aviva didn’t. Her approach was to filter out programs that required the GRE when choosing schools. Still, she points out that from what she saw, most BA programs require the GRE/GMAT, and her personal advice is to take it.
2. Build up your math and programming foundations
Almost every alumnus from a non-quantitative background worked on this:
- Fanny learned Python at stanCode and also took probability and statistics and calculus, then put the certificates and grades in her application.
- Kiki studied Machine Learning & Python in a National Taiwan University information systems training program, then earned a SQL certificate on Datacamp. Because CMU and UT Austin required a linear algebra grade, she signed up for a Coursera linear algebra course the day after her IELTS exam and had the certificate within a month.
- Una used SQL a lot at work and started a Python course after her exams. She put both on her resume and mentioned them in interviews. The first question in her NUS interview was “Have you taken calculus?”
- Joseph recommends taking at least one programming course and building a solid base in statistics and probability.
Don’t panic if programming isn’t your strength. Ping thinks business analytics cares more about how you explain results to clients, so a thin programming background doesn’t make it harder to get in. Una also says the MSBA’s programming bar isn’t high, but you need to show you’re keen to learn, and it’s even better if you’re already learning.
3. The SOP: show how you think as an analyst
Essays are what Aviva regrets most. She wrote one template SOP and only swapped the school name for each application, without adjusting it to each program. If she did it again, she’d rewrite it around each school’s strengths, even if that meant adding just one paragraph.
How some of the alumni approached it:
- Write about analysis, not just tools: Aviva notes that BA is about the analysis that comes after the model, with roughly a 1:1 split between processing data and analyzing the results. An essay that’s too technical can read like a DS or DA application. Joseph agrees: instead of describing how you used the software, write about what you found in the data and what impact it could have.
- Tie your experiences together with a story: Kiki split her SOP into three parts, “starting point, turning point, goal”, and made clear why now was the right time and what her short- and long-term goals after graduation were. Tom thinks the same stats can be written into completely different stories.
- Connect to the curriculum: Ping wrote about the abilities his college courses gave him, how he used them in his internship, and which abilities he wanted to keep developing in the program.
- Quantify your results: Fanny says you need to write out any results you can quantify to convince the school.
- Save time: Fanny copied every school’s SOP prompts into one spreadsheet and grouped them into categories such as academic development, extracurriculars, and personality and teamwork, so she didn’t have to start from scratch each time.
For a full guide to application essays, see the study abroad essay writing guide (in Chinese).
4. Choosing schools: what to look at besides rankings
Everyone cares about different things, but these factors kept coming up:
- Program length: Aviva only chose programs longer than one year, ideally a year and a half, so she could do an internship.
- Course mix and capstone: Kiki wanted to strengthen her technical skills, so she looked first for curricula with more coding than business courses, and she valued capstone projects done with companies.
- Cost and local job opportunities: Tom cared most about tuition plus living costs, and the chance to stay and work locally. Choosing between UMN and Emory, he picked UMN, which came out about NT$600,000 cheaper after scholarships.
- Teaching style: Lulu was admitted to both NUS and SMU and compared their teaching and job prospects. She noticed SMU mostly teaches in small classes, students have about 4 years of work experience on average, and the internship comes in the second half of the program, with interning during the day and classes at night. She chose SMU.
Tom adds one more point: a school’s ranking and the real worth of its program are two different things. Some highly ranked MSBAs are criticized for being weak and for poor job prospects. The fastest way to find out is to ask alumni who applied in the same field.
5. Interviews: Kira, live interviews and recorded videos
Tom ran into three formats: live interviews (LBS, Emory), Kira interviews (ICL, UCL) and self-recorded videos (UMN). He rates the difficulty as Kira ≥ live interview > recorded video, because Kira limits your preparation and answer time. Most of Fanny’s interviews were also on Kira, and she says you can find past questions on Xiaohongshu (RedNote).
Common questions fall into a few categories: why this school, why an MSBA, why now, short- and long-term career goals, teamwork and leadership experience, and projects where you used data analysis. The hardest question Kiki got in her live CMU interview was “What can you bring to this program?”
To prepare, Fanny, Kiki and Tom all organized their stories with the STAR method. Kiki prepared 3 to 5 examples covering teamwork, leadership and problem-solving; Tom says two or three stories that fit many question types are enough. Lulu thinks the most important thing is to make the interviewer feel how committed you are to your goals.
6. Timeline: the earlier the better
Kiki applied DIY while working and aimed for Round 1. Her timeline: January to March, choose schools and prepare for the GRE/GMAT; April to June, push hard on the test; July to August, take the IELTS/TOEFL; August to September, finish a first SOP draft and find recommenders; October to November, register on the application portals, revise essays and submit.
Her biggest piece of advice is to register on the application portals early so you know what materials you still need. Tom reminds you to ask your recommenders well in advance; if you’re applying in R2, it’s best to confirm they’re willing over the summer.
Advice from the alumni
- Aviva: Once you’re sure about BA, build up internship experience, ideally at a multinational.
- Fanny: Some schools care more about work experience. Don’t lose confidence because of your grades; give it a try yourself.
- Kiki: Before applying, think about which skills you want to build and which connections you want to make once you’re in the program.
- Tom: Prepare early, then trust yourself and trust the process.
- Una: Talk to people at different stages, and think hard about why you want to spend this money on this degree.
- Ping: If you have time, try related jobs or projects. They’ll also help you figure out which industry you want to go deep in.
- Lulu: Contact current students or alumni early to check whether your picture of the school is accurate.
- Joseph: Applying is a marathon, but you’re running in your own lane.
- Amity: If your background isn’t a perfect fit, build relevant experience first through courses, competitions, internships or your own projects.
Further reading: MSBA alumni interviews
- Columbia MSBA admission story | Aviva
- From political science to CMU MSBA | Kiki
- UCSD MSBA application experience | Fanny
- How I got into UMN MSBA and Emory MSBA | Tom
- From marketing to NUS MSBA | Una
- Back to school after three years: the road to SMU in Singapore | Lulu
- NUS Marketing Analytics & Insights | Amity
- Admitted to UCL MSBA straight out of college | Ping
- Applying to Warwick MSBA with a 2.0 freshman GPA | Joseph
- Study abroad essay writing guide (in Chinese)
- Study abroad application guide (in Chinese)
Jason’s Takeaway
An MSBA looks at whether you can solve business problems with data. You can pick up programming and take math courses; what matters most is explaining your analytical thinking and your career goals clearly.
Jason, admitted to Columbia Business School’s MBA at 22 and founder of OfferLand.cc
Next step: Use the comparison table above to pick the alumnus whose background is closest to yours, and read their full interview.
