LOR Sample for MS in Business Analytics

LOR Sample for MS in Business Analytics

In business analytics, the letter mix can be a rule. MIT Sloan's Master of Business Analytics asks for three letters, and one must speak to your quantitative abilities. Working professionals must include one from their current or most recent employer. Imperial's MSc Business Analytics & AI takes two referees, at least one academic.

So the question is not only "professor or manager?". It is which of your letters carries the numbers. For a working applicant, our view is that it should usually be the manager's letter, because the manager saw you use quantitative methods on real decisions. Below is a constructed manager sample written to do that job, and a short professor paragraph for comparison. If you are the writer, your recommendation letter can get a free Quick Review before you upload it.

Every program page quoted below was checked on October 31, 2026, and each states a 2027 intake. The applicant's own statement has its own guide: MSBA statement of purpose.

What business analytics programs ask of letters

Read the table as three different instructions:

• MIT fixes the mix for working professionals and adds a quantitative requirement.
• Imperial always needs one academic, so a working applicant there sends one academic and, as Imperial recommends, the line manager.
• Georgia Tech and UC Davis leave the mix to you.

MIT also says: "We do not accept recommendations from family members." That matters in a family business. A parent who runs the company cannot be your employer letter.

Our view: if you work in an analytical role, make the manager's letter your quantitative letter, and let the professors speak to coursework. The countercase: if your job is mostly reporting or client service, a professor from a statistics, econometrics or operations research course is the safer quantitative writer. A manager letter that only says you "built dashboards" does not show quantitative ability.

Sample: manager letter for a working applicant

Constructed example, written by us, not a real letter or a real applicant. Context (invented): the applicant has three years as an analyst at a retail chain in Bengaluru and applies to an MS in Business Analytics. The letter is 288 words, well inside MIT's two-page limit.

I am Head of Merchandising Analytics at [Company], a chain of 140 stores. Priya Nair has reported to me since August 2023. I set her objectives, review her models before they reach the business, and wrote her last three annual reviews.

In 2024 our stores were running out of fast-moving products every weekend while warehouses held too much stock. Our forecast used a 12-week moving average. Priya showed, with two years of daily sales, that it missed festival weeks by up to 40% at the store level. She built a model with store, week and promotion effects, tested it on the six months we had held back, and cut the forecast error at the store level by about a third. She presented the trade-offs to our operations director in plain language, including where the new model was worse: new stores with little history.

She also caught an error that would have cost us a bad decision. A vendor report claimed that a loyalty discount had raised sales by 18%. Priya noticed that the stores in the test group were also the ones that had been renovated. She ran a comparison with matched stores, and the effect fell to about 3%. We did not extend the discount.

Of the 15 analysts I have managed in eight years, Priya is the strongest at statistics and one of two I would trust to design an experiment. Her weakness is delegation; she rewrites junior colleagues' queries instead of teaching them. She has started weekly reviews with two junior analysts to change this.

She is ready for formal training in optimisation and machine learning. I recommend her strongly for your MS in Business Analytics.

[Name], Head of Merchandising Analytics, [Company] · [work email]

The percentages are part of the invented story. They are not data about any real company.

Why the sample works for an analytics program

• It is the quantitative letter. Two incidents show a model tested on held-back data and a confounder found and corrected. That answers MIT's "quantitative abilities" requirement with things the manager saw.
• The basis is stated first: direct report, model review, three annual reviews.
• It describes a limit of the applicant's own model (new stores). That reads as judgment, not salesmanship.
• The comparison names a group: "15 analysts I have managed in eight years".
• It names a weakness with what is changing.

When a professor is the right writer

• You are a current student. MIT asks current students for "Three academic letters from your current institution, preferably from professors."
• Imperial. Every Imperial application needs one academic referee.
• Your job is not analytical. A professor who taught you statistics or operations research can cover the quantitative requirement.

Constructed example: the professor's quantitative paragraph

Constructed example, written by us, not a real letter. Context (invented): a statistics professor writing for a current final-year student.

Weak: Karan scored an A in my Business Statistics course and is very good with numbers.

Revised: Karan Shah took my Regression for Business course (48 students) in his third year. For the term project he chose a messy public dataset on bus ridership, found that two stations had swapped codes in half the records, and fixed the data before he fitted anything. His was one of three projects that tested whether the model held on a later year of data. He finished first in the class, and his written interpretation was the clearest I received.

The revised paragraph gives the course size, a data-quality decision and a validation step. A grade alone is already on the transcript.

Before you upload the letter

1. Find out which letter the applicant needs from you: the employer letter, the quantitative letter, or an academic letter.
2. State your role, how long you have supervised or taught the applicant, and how often you saw their work.
3. Describe one or two decisions the applicant made with data, with the result.
4. Name your comparison group with a number.
5. Keep it within two pages if the program is MIT.
6. Use your company or university email. Imperial refuses free email addresses.

Questions about MSBA recommendation letters

Should my MSBA letter come from a professor or a manager?

If you are working, MIT requires one employer letter and Imperial recommends your line manager. If you are still studying, MIT asks for three academic letters.

Can a client write my business analytics recommendation?

None of the four pages we checked mentions clients. MIT's working-professional rule asks for your "current or most recent employer", so a client cannot be that letter there.

Does the MSBA recommendation have to be a letter?

Not always. MIT accepts "letter or short-answer format", and Georgia Tech's form combines ratings with a typed or uploaded letter. Your own statement has a different job; see the business analytics personal statement for UK programmes.

Applicant coming from a bank? The SOP for business analytics from a banking background shows what bank work can and cannot prove.

Get a free review of the letter

Get a free Quick Review of your recommendation letter against GradPilot's graduate recommendation letter rubric for master's and PhD applicants. It reads for how you know the candidate, incidents rather than adjectives, comparisons that name their group, the case for graduate potential, and the strength of your endorsement. For a UK program such as Imperial's, or if your grading system may be unfamiliar to the reader, also try the international academic recommendation rubric.

GradPilot's letter reviews aren't for a letter you drafted for a recommender to submit as their own.

More analytics guides:

• Employer letters of recommendation for grad school: when a manager should write, for any master's.
• Data science and analytics SOP examples: the applicant's statement for the same programs.
• LOR sample for an MS in Data Science: the letter for a data science master's.

Hub: graduate school essays.

Sources

Retrieved October 31, 2026, except where noted.

• MIT Sloan School of Management, How to apply to the Master of Business Analytics program (2027 entry; deadline January 5, 2027, 3:00 p.m. ET): three letters, academic and professional mix, quantitative letter, no family members, format and length.
• Georgia Tech, MS in Analytics admissions (Fall 2027): three letters, rating form plus letter.
• UC Davis Graduate School of Management, MS in Business Analytics admissions (August 2027 cohort): professional, academic or both.
• Imperial College Business School, MSc Business Analytics & AI admissions (2027 intake): two referees, at least one academic, line manager recommended, no free email.