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MSBA Personal Statements
Lauren Hammond is our MSBA application essay expert and has been helping people write their MS in Business Analytics personal statements for several years. Whether you just want some feedback on a draft, or you're staring at a blank Word doc and don't know where to begin, she is happy to help!
Contact Lauren directly at 951-395-4646 (phone or text), or send us an email. Working with Lauren is $225 per hour, or $995 for 5 hours.
Consultations are free.
3 TIPS FOR STRONG MSBA PERSONAL STATEMENTS
1. Explain Your Interest in Business Analytics
- Share a specific experience that sparked your interest: Pick one moment when you watched data change a real decision, at work or in a class project, and describe it closely enough that the reader can picture it.
- Show your curiosity for solving business challenges with data: Name a business question you wanted answered and what you did to answer it, such as pulling the numbers yourself or testing a hunch against last year's data.
- Connect business and analytics: Show that you understand the field sits between the technical work and the business decision, and say which side you're stronger on now and which side you need the degree for.
Example:
"As a marketing coordinator, I watched our team pick email send times out of habit. I pulled six months of open and click data into a spreadsheet, split it by day and hour, and showed my manager that our Tuesday-morning sends were our weakest. We moved them to Thursday afternoon and clicks went up. I could answer that question because it was small enough for Excel, and I want the training to answer bigger ones."
2. Highlight Relevant Experiences and Skills
- Showcase academic and professional preparation: Mention coursework in statistics, programming, economics, or business, as well as hands-on experience with data analysis, visualization, or decision modeling.
- Demonstrate technical and analytical skills: Highlight proficiency in tools like SQL, Python, R, Tableau, or Excel, and discuss projects where you applied these skills.
- Emphasize business problem-solving ability: Give an example of a decision that changed because of your analysis, and say what happened afterward.
Example:
"As a financial analyst, I built a Tableau dashboard that broke customer spending out by age group and region and refreshed every morning from our sales database. Within a month, the marketing director was using it to move ad spend away from two regions where spending had flattened. Building it also showed me what I don't know yet: I could display the trend, but I couldn't tell her with any confidence whether it would continue."
3. Align Your Goals with the Program’s Strengths
- Research the program’s offerings: Highlight specific courses, faculty, capstone projects, or industry partnerships that align with your career interests.
- Explain how the program fits your career trajectory: Whether you aim to work in consulting, finance, tech, or operations, describe how the program’s curriculum and resources will help you reach your goals.
- Demonstrate long-term vision: Say what you want to be doing five or ten years after the degree, as concretely as you can, and how an MS in Business Analytics gets you there.
Example:
"What draws me to [Program Name] is its capstone, in which student teams spend a term on a live problem for a partner company, and a forecasting course that covers methods I've only read about. I'd want my capstone to be an operations problem. My goal is a business intelligence role at a software company, building the reports that operations teams use to plan staffing and capacity."
Check each program's prompt carefully. Where a program asks for a statement of purpose rather than a personal statement, the statement of purpose format is different enough to matter.
Video: 7 Ways to Write a Crappy Graduate School Personal Statement
For more personal statement tips, check out Vince's video: 7 Ways to Write a Crappy Graduate School Personal Statement.
Master of Science in Business Analytics Personal Statement Example
Here's an example of a strong statement, followed by a brief analysis of what makes it work well.
We wrote this one ourselves as a teaching model. The applicant is invented, the program is left generic on purpose, and nothing here is a real client's statement. Read it for structure and for how specific the detail gets, not as text to borrow. Where you see a bracketed placeholder, that is where your own program research has to go.
Grocery assistant store manager to MSBA
The bagged salad shelf at my store threw away more product than any other section, and for most of my first year as assistant store manager I assumed that was just how produce worked. Our ordering system suggested quantities from a rolling four-week average of sales, and I approved those suggestions every Monday and Thursday without thinking much about them.
Last spring our district manager asked each store to cut produce shrink, so I exported twelve weeks of point-of-sale data and our daily waste logs into Excel. The first pattern took an afternoon to find. When a promotion ended, bagged salad sales fell by close to half, but the four-week average still included the promotion weeks, so for the next two or three weeks the system kept suggesting orders sized for sale prices. The second pattern took longer. We were writing off most of our salad on Tuesdays, which made no sense until I lined the waste log up against delivery dates and saw that Saturday's truck was arriving with product that had only three or four days of code left.
I changed two things. I started overriding the suggested order for the two weeks after any promotion, and for a month I sent the district our receiving temperatures and code dates for every Saturday delivery. Salad shrink went from about 11 percent of sales to about 7 percent over the next two months, and the distribution center moved our produce to a Friday truck.
I'm proud of that work, but I also know its limits. I can't say how much of the drop came from my changes and how much came from summer, when salad sells faster anyway. I didn't have a comparison store or any way to separate the two effects, and the honest answer I gave my district manager was "some of it." Excel was also slow going. Every new question meant another export from the store system and another hour of lookups, and I wanted to compare two years of data across all fourteen stores in our district, which I had no way to pull.
Since then I've finished an online SQL course and a community college statistics class, where I learned enough regression to see how far I am from building a real forecast. I can write a query that joins sales to waste by item and date. I can't yet build a model that accounts for promotions, holidays and weather at the same time, or design a test that shows whether an ordering change worked.
That is why I'm applying to the MSBA program at [University Name]. I want the forecasting and experimental design coursework first, because those are the two gaps I hit in my own store. I'm also interested in the program's practicum, since working with a partner company's data would let me try those methods on a problem bigger than one department in one building.
After the degree, I want to work on demand forecasting and replenishment for a grocery or retail chain. I've spent five years in grocery stores on the receiving end of ordering systems, approving numbers I didn't fully trust. I'd like to help build systems that store managers can check, with someone on the other end who can explain in plain terms why the order looks the way it does.
What we liked about this statement:
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The first sentence names one shelf in one store ("The bagged salad shelf at my store threw away more product than any other section"). A weaker draft opens with "Data tells stories" or a line about always loving numbers. This one hands the reader a business problem before it says anything about the applicant.
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The second paragraph shows the method in order: exporting point-of-sale data, lining the waste log up against delivery dates, noticing that the four-week average still held the promotion weeks. That tells an admissions reader how this person works with data, which a list of tools on a resume can't do.
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The result has a number (shrink from about 11 to about 7 percent), and then the applicant questions it: they can't separate their changes from summer demand, and they told their manager "some of it." For an MSBA reader that admission is worth more than a bigger claimed result, because it points at exactly what the degree teaches.
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The gaps in paragraph five match the coursework named in paragraph six (forecasting, experimental design), so the "why this program" section reads as a plan. When you adapt this structure, replace the [University Name] placeholder and the practicum detail with courses and projects from your own research.
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The ending names a job (demand forecasting and replenishment for a grocery or retail chain) and the people it serves (store managers approving orders). Compare the old version's closing hope to "create a meaningful impact in the business world," which could end any application.
Feeling stuck?
Lauren Hammond, our MSBA personal statement editor, would be happy to help - whether you just need a second opinion on a draft or you're starting from scratch.
Text or call her at 951-395-4646, or send us an email.
Lauren works with you on Zoom and in Google Docs, so you get both real-time coaching and clean, trackable revisions. Most clients use 2 to 4 sessions.
Meet Lauren Hammond, MSBA Personal Statement Tutor
Lauren: I earned my Bachelor’s Degree in Literature and Writing, with a concentration in Writing, at California State University San Marcos (CSUSM) and my Master’s Degree in English and Comparative Literature at San Diego State University (SDSU).
I completed my PhD in English at the University of California Riverside (UCR) in September 2023 and then worked as UCR's Graduate Writing Center Specialist and graduate Fulbright Program Advisor. I now teach at Azusa Pacific University, where I'm an Assistant Professor and Lead Faculty in the Writing Program.
I have been a writing consultant for more than 10 years, and I've helped people with research writing, thesis/dissertation projects, rhetorical and literary analyses, writing in the humanities, grammar/sentence mechanics, and more. My focus for VKTP centers on graduate school application materials - including personal statements, diversity statements, and research statements - as well as job market materials for academic and alt-academic positions - resumes, CVs, cover letters, etc.
During my downtime, I love hanging out with my husband, our daughter, and our two dogs, Link and Leia! My favorite activities are going on the boat, cruising on the golf cart, and making our way through all of the local eateries. When we aren’t out and about, I typically enjoy reading and watching movies.
Working with Lauren is $225 per hour or $995 for a package purchase of 5 hours. You can reach her at 951-395-4646 (phone or text), or by sending us an email.
P.S. Our partner Julie can also help you prepare for your MSBA admissions interviews! Learn more about her professional voice training for interview prep.
P.S. We also do GRE prep!
Love For Lauren
Frequently Asked Questions
We generally recommend about 4-8 weeks, and 6 weeks is a good target. It takes time to come up with ideas and get them onto paper in a form that holds a reader's attention.
Most personal statements are boring, even when the people writing them aren't. The usual causes:
- Their focus is too broad. They try to cover everything they've done, and nothing ends up standing out.
- They're impersonal. It's a personal statement - the reader needs to get a sense of who you are and what you're actually like - not some sanitized "professional" version of you.
- They're too safe. Ironically, a statement that takes no risks can be the riskiest thing you can do. We're not applying to a program with the intent of blending in with all the other applicants!
Granted, the above things can be overdone, or done wrong. But most statements make no impact, so it's worth thinking about how yours actually can.
How to Apply to a Competitive Master’s in Business Analytics (MSBA) Program
Applying to a Master of Science in Business Analytics (MSBA) program takes planning, because the top programs draw many strong applicants. Admissions committees look for solid quantitative skills and evidence that you can turn an analysis into a business recommendation. Here is what goes into a strong MSBA application.
1. Academic Background and Prerequisites
Most MSBA programs prefer applicants with a strong quantitative background, but they accept students from diverse fields, including economics, engineering, finance, mathematics, and even social sciences. Key coursework that can strengthen an application includes:
- Statistics and Probability
- Linear Algebra and Calculus
- Programming (Python, R, SQL, or SAS)
- Machine Learning or Data Science Fundamentals
- Business or Economics Principles
Applicants lacking some of these courses may still be admitted, but remedial coursework or an online certification in data analytics can strengthen their case.
2. Standardized Test Scores (Optional but Beneficial)
Many programs still accept GRE or GMAT scores, though some have adopted test-optional policies. Some MSBA programs still require or recommend the GRE or GMAT, so check each program's requirements. A strong quant score (about 165 or higher on GRE Quantitative, or about 85 or higher on the GMAT Focus Edition Quant section) can show math ability, especially if your transcript is light on quantitative courses.
3. Work Experience and Internships
Unlike most MBA programs, most full-time MSBA programs do not require work experience, but having relevant internships or full-time work in data analytics, consulting, finance, or technology can set an applicant apart. Competitive applicants often have experience in:
- Data analysis roles using Python, R, or SQL
- Business intelligence and reporting
- Predictive modeling or machine learning
- Data-driven decision-making in a corporate environment
Applicants without direct experience can bolster their application by completing personal projects (on platforms like Kaggle) or online certifications (Coursera, DataCamp).
4. Strong Statement of Purpose (SOP)
A strong SOP should make clear:
- Why Business Analytics? Explain how your background, skills, and interests align with the field.
- Why this program? Tailor your response to each school, mentioning faculty, courses, or capstone projects that excite you.
- Career goals - both short-term and long-term aspirations.
- Your unique value - what you bring to the cohort (technical skills, leadership, domain expertise).
Avoid generic essays and instead highlight specific experiences and achievements that demonstrate problem-solving skills and analytical thinking.
5. Letters of Recommendation
Most programs require two or three recommendation letters from professors or managers. Strong letters should highlight:
- Technical proficiency in analytics
- Problem-solving skills and creativity
- Teamwork and communication abilities
- Potential for success in the program
Pick recommenders who can describe specific work you did with them. A letter of general praise tells the committee very little.
6. Resume and Portfolio
An MSBA resume should emphasize technical and analytical skills, including:
- Programming languages (Python, R, SQL, etc.)
- Data visualization tools (Tableau, Power BI)
- Statistical modeling, machine learning, and AI applications
- Academic and professional projects with measurable impact
Some programs allow submission of a data science portfolio, showcasing projects on GitHub or personal websites.
7. Interview Process
Top programs may require an interview to assess communication skills, problem-solving approach, and motivation. Questions may include:
- “Why do you want to pursue an MSBA?”
- “Describe a time you used data to solve a problem.”
- “What are your career goals after graduation?”
Some schools also include a technical interview or case study, requiring applicants to analyze a dataset or solve a business problem.
Final Thoughts
A strong MSBA application combines academic excellence, technical expertise, relevant experience, and a clear career vision. The applicants who do well show the committee real work: an analysis they ran, and what changed because of it.
BTW, Lauren can also help with:
- Biomedical Sciences personal statements
- Fellowships and Grants personal statements
- Law school personal statements
- Master's degree personal statements
- MBA personal statements
- PhD personal statements
- Post-doctoral personal statements
- Anesthesiologist Assistant personal statements
- Applied Behavior Analysis / BCBA personal statements
- Art Therapy personal statements
- Athletic Training personal statements
- Audiology personal statements
- Chiropractic personal statements
- Clinical Psychology PhD personal statements
- CRNA personal statements
- Dental school personal statements
- Diagnostic Medical Sonography personal statements
- Dietetics / Registered Dietitian personal statements
- Epidemiology personal statements
- Exercise Physiology personal statements
- Genetic Counseling personal statements
- Health Informatics personal statements
- Kinesiology / Human Performance personal statements
- Marriage and Family Therapy personal statements
- Master of Public Policy personal statements
- Medical Laboratory Science personal statements
- Medical Residency personal statements
- MHA personal statements
- MPH personal statements
- MS in Counseling personal statements
- Nurse Midwifery personal statements
- Nurse Practitioner personal statements
- Nursing school personal statements
- Occupational Therapy personal statements
- Optometry personal statements
- Orthotics and Prosthetics personal statements
- Perfusion Science personal statements
- PharmD personal statements
- Physical Therapy personal statements
- Physician Assistant personal statements
- Podiatry personal statements
- PsyD personal statements
- Radiation Therapy personal statements
- Respiratory Therapy personal statements
- Social Work personal statements
- Speech-Language Pathology personal statements
- Veterinary School personal statements