UCSD MSBA: How Fanny Went from Sociology and a 3.11 GPA to 8 Offers

Updated 2026/10/16

Fanny graduated in sociology from National Chengchi University and was eventually admitted to UC San Diego’s MSBA. Getting there took four years of full-time work plus extra coursework, and a lot of effort to move from a humanities background into data analytics. In this interview, I talk with her about how she built a distinctive application with a GPA that didn’t stand out (3.11/4.0), drawing on internships, volunteering, an international competition, and four years of data work at Appier. She received business analytics offers (MSBA/MSMA/MSAA) from Columbia, NYU, several UC campuses and more.

What stands out in her story is that GPA anxiety didn’t stop her. She kept building her coding skills, took for-credit courses, and wove together her full-time job, her college internships, the prep she did for the application (credit courses at Fu Jen Catholic University, learning to code), her sociology training, and her data skills in her application essays. It worked.

If you’re thinking about a US master’s in business analytics (MSBA), data science, or marketing analytics, and you worry that you don’t have a business background, your grades aren’t great, or you can’t fit applications around a full-time job, Fanny’s experience should help. Her advice comes down to this: apply, and give it a real try.

Fanny’s background: (Fanny’s LinkedIn URL)

• National Chengchi University, Sociology, GPA: 3.11/4
• TOEFL 102, GRE 318 (V156 / Q162)
• Work Experience:
  • Appier, Senior Campaign Analyst (2021 to 2025)
  • AccuHit AI Technology, Advertising & Digital Marketing Intern (2020 to 2021)
  • Shopee, Community Content Intern (2019 to 2020)
• Other Experience:
  • Red Bull “Can You Make It” international challenge, Team Taiwan leader (global Top 10)
  • Volunteer at One-Forty, promoting cultural exchange with migrant workers
  • Public relations team of the NCCU student association, helped organize the campus career fair
• Admitted to:
  • Columbia University, MSAA
  • UC San Diego, MSBA (enrolled)
  • UC Irvine, MSBA
  • NYU, MSMA
  • Purdue, MSBAIM
  • UIUC, MSBA
  • University of Maryland, MSBA
  • Boston College, MSAA

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The Program and Student Life: UCSD MSBA

UCSD MSBA (Master of Science in Business Analytics)

The UCSD Master of Science in Business Analytics (MSBA) is a full-time STEM program with an AI-assisted curriculum. Large language models (LLMs) are built into every stage of the analytics workflow: defining the problem, cleaning data, coding, analysis and presenting results. The idea is that AI will be a core part of a business data scientist’s job, so students should learn to work with it now. The program aims to give students the skills and knowledge to do well in a field that changes quickly.

Full-time students can finish the Rady School of Management’s MSBA in as little as 11 months. The curriculum is built around solving real business problems, and to give students practice in a Real Business Context, it is organized around three Core Skill Areas:

• Data Handling & Analysis: data cleaning (MGTA 415 – Analyzing Unstructured Data (4)), visualization and more
• Technical Tools: statistics, NLP (CSE 256 – Statistical Natural Language Processing (4)), Machine Learning and Optimization
• Business Application & Value Creation: Practical Opportunities such as a large applied project (MGTA 454 – Business Analytics Capstone Project, 4 units), internships and many Case Studies, so students apply what they learn

What surprised you after you started? Did the course difficulty, school resources and classmates match what you found in your research beforehand?

The UCSD MSBA is roughly 40% business and 60% tech, so it leans technical. During orientation, for example, we spent two afternoons setting up everyone’s laptop environment with VS Code, Docker containers and so on.

Before classes started, the school assigned DataCamp coursework on SQL, Python and Git basics. The program starts in July, and the eight-week summer term covers SQL, Python, and a BA course on finance, marketing and operations: three courses in total. There’s a lot of material and the pace is tight, with homework or a quiz in every class. If you come in without some coding background, keeping up is pretty exhausting.

Each cohort has 180 students, split into a blue and a yellow section. My classmates come from India, China, Korea, Mexico, the US and elsewhere, usually with 0 to 5 years of work experience, and backgrounds in business, finance, electrical engineering and more. It’s a very mixed group. The business school runs far more events than I expected. The Career Management Center holds lots of job search talks, there are career fairs run by the school, the department and outside groups, and networking events of every size. There are plenty of resources, but not all of them help, so you have to learn to pick what you need.

You have to survive a heavy load of homework, projects and exams while also job hunting and going to events, so planning your time matters a lot!

What are 3 things you love most about the UCSD MSBA so far?

My absolute favorite is the setting. The weather in San Diego is lovely: sunny and dry every day, no rain. The school is in La Jolla, which is clean and safe. You can walk around freely, and it’s great for outdoor sports.

The school offers lots of sports classes, like swimming, surfing, diving, tennis, yoga and boxing, and they’re a lot of fun. If you like being outdoors, you’ll love life here. Flexible course selection is another UCSD feature. Of the MSBA’s 50 units, 16 can be taken outside the department, so you can choose MBA, CS, DS or other courses that interest you. I really like that freedom.

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Why She Applied: From Sociology to Business Analytics

Which internships or jobs made you realize that data and business analytics were what you really wanted to pursue?

At work, I gradually saw that data is the foundation of every business decision. A big part of my job at Appier was watching trends and changes in the data to decide which next step would pay off most. That’s when I really understood how much data analysis and its applications matter.

Along the way I worked with a lot of excellent data scientists and analysts, and learned how complex data processing is and how many directions it can take you. Those experiences got me very interested in the data field and made me want to keep learning more.

After you started working, how did sports, side ventures or career exploration lead you to new interests?

Once I was working, it hit me that data is everywhere in daily life. I love sports, and when I started using a Garmin sports watch, I saw how wearables use and analyze all kinds of physiological data. It takes my cadence, power and heart rate on every run, and the training load of each session, then combines them with sleep quality, resting heart rate, VO2 max and other metrics to calculate my peak status.

I found it fascinating to watch those numbers turn into useful insights. It showed me that data analysis isn’t limited to work: it can also help me understand my body better and make smarter training choices. That made me even more excited about the data field!

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Writing the Essays: Turning a Humanities Background into an Analytics Strength

Which experiences in your essays do you think showed your value best?

Thanks to Jason’s help, my essays ended up full of substance. I’m not sure which point caught the schools’ attention. Maybe my range of experiences, which was different from other people’s, made me stand out as an applicant. About 70% of my essays connected my work and internships to the MSBA. The other 30% covered things outside work and school: triathlons and marathons, a small business I started, an exchange semester in Thailand, the Red Bull competition, and my time at an NGO.

Coming from another field, how did you use coding, data skills or extra courses to convince the schools?

Most MSBA programs care a lot about coding and the math behind analytics. If you have time, learn Python and SQL through an online course you like. On the math side, probability and statistics, calculus and linear algebra are all important foundations. A certificate or a course grade can strengthen your application.

I have a stanCode Python certificate and transcripts for two courses from Fu Jen Catholic University’s continuing education division (with high grades, an A and an A+). Besides showing the schools your effort, this also helps a lot once you start the BA coursework. I’m really glad I learned to code first. It’s the reason I can keep up with the pace here in the US.

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Planning and Choosing Schools: Studying for Tests While Working

You applied while working full-time. How did you schedule test prep, essay writing and deadlines?

I started preparing for the English test in June, took the GRE in September, and started writing applications in December. My TOEFL score stayed below 100 until February, though, so the rest of my application timeline was extremely tight. Jason helped me a lot, thank you!

I studied about 4 hours a day: vocabulary before work, a listening section during lunch, reading and writing in the evening, and longer practice tests on weekends. I made progress every day in small chunks and kept my own pace. Start test prep early. If you still don’t have your scores late in the process, the pressure is huge. Begin early and find a study method that works for you.

How did you decide on your safety, target and dream schools? How did you research so many programs?

Mostly by talking with friends in the US and reading online forums. Xiaohongshu (RED) is a great search tool because so many international students post there, so you get lots of information and different views. Don’t get too anxious about the “rankings” you see there, though. Treat them as one reference point, and look at other students’ application and interview experiences, when decisions came out, and what people say about each program. OfferLand and 1Point3Acres also have lots of articles about studying abroad.

When choosing schools, I looked at whether the program leans business school or tech, where the school is (and how safe it is), and the ranking. Honestly, choosing a school is really hard. There were lots of schools I wanted to go to, each with its own pros and cons. I wish I could have tried them all, haha.

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Strengthening Your Profile: Building What Sets You Apart

How did you bring your college internships (AccuHit, Shopee), volunteering (One-Forty) and competition (Red Bull) into your application?

Jason helped me brainstorm and pull this together. Over phone calls with him, we found ways to match my past experiences to each school’s different questions and work them into my CV, so I could show what makes me different while staying on topic. It took a lot of rounds of revision to get right.

While working, how did you turn your job results and side learning (coding, data courses) into application strengths?

Put numbers on what you’ve done. Schools are convinced by quantified results.

If you want to apply for BA/DS, I strongly recommend taking classes at StanCode first (this isn’t sponsored), or any course that covers this area. A course gives you data background knowledge and coding practice, and you can even build your own portfolio, which helps your application a lot!

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Applying While Working: Stress, Time and Staying Sane

What tools, platforms or resources did you use to work more efficiently while applying?

Every school asks its own SOP questions:

1. Once you know which schools you’re applying to, copy each school’s questions into a spreadsheet. Say there are 20 of them.
2. Then group the questions, for example: academic development, extracurriculars, personality and teamwork.

Grouping cuts down your writing time, because you don’t start from zero every time, and you get your application materials ready faster.

How did you deal with a low GPA and score anxiety, and stay confident?

A low GPA really does hurt an application, but it doesn’t mean you have no chance (I’m living proof). Applications include an optional essay where you can write whatever you want. I used those 1,000 words to explain why my GPA was low in college, what I was spending my time on instead, and what I learned from it. I also described what I did after graduating to make up for the gaps, such as learning to code and taking extra courses.

Some schools care a lot about grades and academic achievement, but others care more about work experience, so don’t lose confidence over your grades. When I was applying, a lot of people tried to talk me out of it. They said I had no chance at the schools I wanted because my grades weren’t good enough. For a while I felt pretty bad about myself and thought I was aiming way too high.

But I didn’t want fear to cost me the chance, so I applied to a lot of “impossible” schools anyway. I got offers from 8 of them, some with scholarships. Don’t give up because of what other people say. You only find out by trying!

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Interviews: Your Chance to Show What You Bring

What interviews did you have for MSBA programs? What were the process and format like?

Most were Kira interviews. Only one or two schools did live interviews. A Kira interview is a bit like the TOEFL speaking section: a one-way video interview where you get some time to read the question and prepare, then some time to answer while you’re recorded. You can search Xiaohongshu for past Kira questions and often find the exact same ones.

• What are your short-term and long-term career goals?
• Please share with me a project that you’ve completed either in school, your personal life, or at work that used analytics. What did you use, statistics, probability, or regression? What problem was being solved, and how did you solve it?
• What programming language do you use? How often? Where did you learn it? Please share with us as detailed as possible on how you are using programming languages
• Failure Experience/ Frustrated Experience and how you dealt with it?
• How do your supervisors describe you?
• Which accomplishment(personal or professional) are you most proud of ?
• Most valuable course as a college student ?
• Tell us about a time when you were on a team where someone was not keeping up with his or her responsibilities. How did you handle it?

What advice would you give future applicants on behavioral questions and must-answer questions like “Why this program”?

For behavioral questions, the most important thing is to be specific and structured and to tell a story. I suggest preparing with the STAR method so your answers come out organized. When I prepared, I put together 6 to 8 common themes:

• Handling conflict
• Teamwork
• Leadership
• Managing stress
• Problem solving
• Learning on your own initiative
• Failure
• Cross-functional collaboration

Then pick examples from your real experience. For me, that meant project coordination at Appier, communicating across departments, and how I tracked down the problem when a data pipeline ran on the wrong data. One story can fit several question types as long as you shift the emphasis.

Why School ? Why MSBA ? 

1. Your background and motivation (Why me)

Explain why you’re interested in analytics, business or data.
Example: my data work at Appier, working with data scientists, my enthusiasm for using data, even everyday data insights (like Garmin training metrics).

2. How this program fills your gaps (Why this program)

Name specific courses, resources, professors, the capstone, internships, the location.
Be concrete. “This program is famous” doesn’t count.

3. Where you’re headed (Why now & future goals)

State your goal clearly, for example becoming a data-driven PM or a data analyst, or getting into a particular industry.
Then explain why this program is a key step toward that goal.

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Advice for Future Applicants

What would you tell applicants without a business background, or people preparing while working?

Applying while working is really hard. You never get enough sleep and deadlines keep chasing you. Eat well, make time to get some sun and exercise, and look after your health. Without a clear head and plenty of energy, you can’t handle that much pressure.

When the application process got me down, I’d look up fun things to do and good food in the US, or watch day-in-the-life vlogs from YouTubers studying in the US. I’d picture myself a year later living a completely different life, getting closer to my dream one step at a time. All the effort and pain now will pay off.

What three things were most worth your effort during the application process?

If I had to pick the three things most worth putting effort into, these would be it.

Talk to people with experience: you’ll learn things you didn’t expect

I think this gives you the most for the least effort, and the most honest picture. Talk with people who have been through applications, people who have worked in the US, or people who understand American culture. Their stories tell you which skills really matter and what your resume should emphasize.

Fill your academic gaps: show you’re truly ready for the field

I studied sociology in college and didn’t have much math or coding, so I thought filling that gap was very important. I took two courses, Probability and Statistics and Calculus, put the grades in my application, and mentioned them in my SOP. I think this really helped: it strengthens your foundation and also shows the school that you’re willing to invest time in the field.

Know what you want: it keeps your story focused

Applying is also a process of getting to know yourself again. The clearer you are about why you want to study this field, which past experiences support that choice, and where you want to go next, the stronger your SOP and interview answers will be. I eventually realized that my work at Appier, my fascination with sports data, and my drive to use data in real business decisions were all core parts of my story. Once I found that thread, the whole application had a clearer direction.

To compare more MSBA students’ backgrounds and application approaches, see What Is an MSBA? A Guide to Applying for a Master’s in Business Analytics, which collects the experiences of 9 students.