Business Analytics & Artificial Intelligence FAQs

Thinking about the Master of Science in Business Analytics & Artificial Intelligence? This page covers the questions we hear most, from program structure and curriculum to admissions requirements and career outcomes.

Have a question not answered here? Feel free to email us anytime at [email protected].

 

Overview

The Master of Science in Business Analytics & Artificial Intelligence (MSBAi) program is an intensive, 12-month, full-time, lockstep program designed to equip students with the deep quantitative, analytical, data science and artificial intelligence skills necessary to solve complex business challenges effectively.

This program is an ideal fit for early- to mid-career professionals from quantitative backgrounds such as engineering, computer science, math, statistics or business. That being said, all students, regardless of background, who possess a strong analytical mindset and are eager to excel in the field of business analytics and AI are encouraged to apply. View the Business Analytics & AI class profile.

The Master of Science in Business Analytics & Artificial Intelligence program is a 12-month, full-time, on-campus program featuring a structured, lockstep cohort curriculum, with classes scheduled primarily during traditional business hours.

The program maintains a single annual intake, commencing in September (Fall).

The MSBAi program is designed primarily for early- to mid-career professionals and recent graduates. The average admitted student profile includes an average age of 25 and 3.3 years of work experience. View the Business Analytics & AI class profile.

Yes, the MSBAi program holds the STEM designation, which qualifies eligible international graduates to apply for the STEM Optional Practical Training (OPT) extension.

The Master of Science in Business Analytics & Artificial Intelligence program is currently ranked #5 among U.S. public universities in the QS Business Masters Rankings: Business Analytics (2026). Carlson is also ranked #7 in Information Systems programs by U.S. News & World Report (2024–2025). Graduates report a strong career outcome, with a three-year median base starting salary of $115,000.

The best way to learn is to attend a Minnesota Carlson event. You can meet admissions staff and get direct answers to your questions. You can also explore our website for student videos, curriculum details and information on the Carlson Analytics Lab. To connect with us directly, email the Graduate Programs Office at [email protected].

The Master of Science in Business Analytics & Artificial Intelligence (MSBAi) program is a great fit if you want to use data, advanced analytics tools and artificial intelligence to uncover business insights and drive decisions. It differs from other graduate programs in several important ways:

  • Master of Science in Business Analytics & Artificial Intelligence (MSBAi): Focuses specifically on artificial intelligence, data analytics, data science, and the use of advanced data analytics tools in business settings.
  • MS in Management Information Systems (MIS): A broader degree centered on IT management, systems, and digital infrastructure within organizations.
  • MS in Data Science: A more technical program emphasizing statistics, computing systems, and developing new data science methods and algorithms.
  • Master of Business Administration (MBA): A general management degree covering areas such as strategy, finance, marketing, and operations, with less depth in technical analytics.

Yes. We offer dual degree options that combine the Master of Science in Business Analytics & Artificial Intelligence (MSBAi) with either the Master of Science in Finance (MSF) or the Master of Human Resources and Industrial Relations (MHRIR).

The program begins in the fall (September). We do not offer spring or summer start dates. Required orientation takes place the week before classes start in late August or early September.

The Master of Science in Business Analytics & Artificial Intelligence is a one-year (12-month) program that runs from September to August. It follows a structured, lockstep cohort format, so you cannot change the duration.

Yes. The Master of Science in Business Analytics & Artificial Intelligence program is a STEM-designated program. This allows eligible international students to apply for a 24-month STEM Optional Practical Training (OPT) extension, for a total of 36 months beyond graduation. Please note, the program does not authorize Curricular Practical Training (CPT) because students are not enrolled for the required minimum of one year before the program concludes.

Yes, Minnesota Carlson's Master of Science in Business Analytics & Artificial Intelligence (MSBAi) was formerly known as the Master of Science in Business Analytics (MSBA). The program was renamed to reflects the program’s significant emphasis on artificial intelligence (AI). The change is in effect for students who start in Fall 2027. Read more about the MSBAi name change.

Admissions

The program is distinguished by its intensive, technical curriculum, its hands-on experiential learning projects with actual clients and real data, as well as a prime location in downtown Minneapolis, giving our students access to top companies.

Minimum requirements for the Master of Science in Business Analytics & Artificial Intelligence program include a bachelor’s degree equivalent to a 4-year U.S. degree, successful completion of at least one college-level quantitative course (e.g., calculus, statistics, etc.), a current résumé, video interview/essay, personal essays and two recommendations. View requirements & deadlines.

Work experience is not strictly required for the Master of Science in Business Analytics & Artificial Intelligence program, but is highly preferred. Admitted students often have relevant internship experience, with the average admitted class possessing 3.3 years of work experience.

GMAT or GRE scores are optional for the Master of Science in Business Analytics & Artificial Intelligence program if a student meets a cumulative undergraduate GPA of at least a 3.0 on a 4.0 scale (or equivalent). The average GMAT score for admitted students is 691.9, and the average total GRE score is 320.1.

The MSBAi program has five application rounds for a single fall intake: November 1, January 15, March 15, May 15, and June 15. Each round has a guaranteed decision notification date.

Applications are reviewed only once complete, in the round in which they're finished. Deadlines falling on a weekend or holiday extend to the next business day. Dates shown are for fall 2027 entry; confirm current dates on the requirements and deadlines page.

Yes, all undergraduate majors are welcome to apply, with backgrounds like Engineering representing the largest percentage of the student body (38%).

Yes. You must demonstrate competency in at least one programming language from a select list (such as Python, Java, or C++) by the time orientation begins. The program also requires at least one college-level quantitative course and, ideally, some internship or project experience involving data analysis. View program prerequisites.

GMAT and GRE scores are optional if your cumulative undergraduate GPA is 3.0 or higher on a 4.0 scale, or a B average equivalent. Below that, official scores are required for your application to be considered. You'll self-report whether you meet the threshold in the online application, and a mismatch with your transcripts will hold your file. Full requirements are on the Requirements & Deadlines page.

The MSBAi program has five application rounds for a single fall intake: November 1, January 15, March 15, May 15, and June 15. Each round has a guaranteed decision notification date.

  • November 1 — decision by December 28
  • January 15 — decision by March 15
  • March 15 — final round for international applicants living outside the U.S.; decision by April 23
  • May 15 — final round for international applicants living in the U.S.; decision by June 7
  • June 15 — domestic applicants only; decision by July 6

Applications are reviewed only once complete, in the round in which they're finished. Deadlines falling on a weekend or holiday extend to the next business day. Dates shown are for fall 2027 entry; confirm current dates on the requirements and deadlines page.

Limited fee waivers are available through Minnesota Carlson for specific groups, such as eligible U.S. military applicants or participants in certain partner programs. Review our Requirements & Deadlines page for details on the online application process, including current fee waiver eligibility and instructions.

Yes. International applicants must provide proof of English proficiency unless they qualify for a Graduate School exemption. Studying in English alone does not always waive testing; applicants must adhere to the University of Minnesota English-language requirements for accepted tests (TOEFL iBT, IELTS, Duolingo, etc.) and minimum scores.

Yes. The application requires two recommendations. Preferred recommenders are professional or academic contacts who can speak to your analytical ability, quantitative skills, teamwork and readiness for a rigorous graduate program. View application requirements.

The MSBAi requires a first university degree equivalent to a 4-year U.S. bachelor’s degree. For example, a 3-year degree from India does not meet this minimum on its own. If your degree is non-traditional, the safest step is to have your credentials evaluated and consult the MSBAi admissions team.

We review applications holistically. We consider your past academic performance (transcripts and GPA), standardized test scores (if applicable), work experience, resume, personal statement and letters of recommendation.

No. You do not need a degree in business or computer science. Our students come from a wide range of backgrounds, including engineering, math, statistics, communications, biology and history.

Full-time work experience is not required, but it is preferred. We strongly recommend having internships or experience involving data analysis, technical software or programming (e.g., Python, R, SQL). About one-third of our students join directly from undergraduate studies.

Completion of a Quantitative Course: Completion of at least one college-level quantitative course is required, with a course at the level of Calculus 1 or higher being preferred. The course must pertain to one of the following subjects: Statistics, Probability Theory, College-level Algebra, Linear Algebra, Matrix Algebra, or Calculus. Financial or Business Math are also acceptable if they utilize Calculus or Linear Algebra. Short Calculus, Pre-Calculus, Survey of Calculus, or Quantitative and Research Methods courses do not meet this prerequisite. Applicants who have not yet completed a quantitative course should not submit an application to the program until they have completed the course and received either a final grade or official, verifiable certificate of completion.

Demonstrated Computer Programming Competency: You must demonstrate proficiency in one of the following programming languages: Python, C, C++, C#, VB (not VBA),Rust, Javascript or Java. You can show this through academic coursework or a completed online certification. Note that this is not required to be complete at the time of application submission. If you are admitted without fulfilling this prerequisite, it must be completed by orientation.

No. We do not offer conditional admission. You must meet all requirements at the time you apply.

Unless the country in which you were educated is on the preapproved list, you must take an English Language test, regardless of language of instruction, to apply to the Master of Science in Business Analytics & Artificial Intelligence program. See the admissions requirements for accepted tests and minimum scores. Scores must be less than two years old.

You can upload unofficial transcripts with your application. If admitted, you must submit official transcripts before enrolling. This includes institutions where you have earned credit that transferred towards degree credit at another college/university.

Third Party credential evaluation reports and degree planning documents are not accepted as equivalent to a transcript.

Yes. We require two recommendations when applying to the Master of Science in Business Analytics & Artificial Intelligence program. We suggest at least one come from a supervisor if you have work experience. We use the GMAC Common Letter of Recommendation form.

We automatically waive the fee for active duty U.S. military members. Otherwise, we are unable to waive the application fees.

No. You must submit a separate application for each program.

We require a four-year U.S. bachelor's degree or its equivalent. Students with a three-year degree must complete an additional year of post-baccalaureate study before applying.

Tuition & Aid

Yes. Every MSBAi applicant is automatically considered for merit-based scholarships. There's no separate application, essay, or deadline to track. If you receive an award, it's announced with your final admissions decision. See scholarships and financial aid for eligibility details.

Yes. Teaching and research assistant positions are open to MSBAi students, though they're not awarded through admissions. You apply once you're enrolled, and what's available changes each semester. One thing to weigh: the program moves fast, 12 months with a client project every term, so it's worth thinking through how an assistantship would fit before you plan your funding around one. If you're interested, ask your faculty advisor about open positions during orientation. You can also browse University-wide graduate assistant roles on the jobs site.

Yes, though it's uncommon. MSBAi is a full-time, 12-month program, so most students step away from work and fund the degree through merit scholarships, federal aid, private loans, and personal savings. Sponsorship and tuition reimbursement are arranged directly between you and your employer. Carlson doesn't administer or track these agreements.

The Master of Science in Business Analytics & Artificial Intelligence is an in-person program, so your cost of living depends on studying in Minneapolis–St. Paul. The University's cost-of-attendance figures estimate housing, food and personal expenses beyond tuition and fees, and your actual costs depend on where and how you live. See One Stop's cost of attendance to estimate yours and to find financial aid and loan information.

Total tuition for the 12-month, 45-credit MSBAi program is $45,000 for Minnesota residents and $56,250 for non-residents in 2026-2027, a decrease from the prior year. Residents of North Dakota, Wisconsin, and Manitoba pay the resident rate through reciprocity. Tuition is billed per credit at $1,000 for residents and $1,250 for non-residents. Budget roughly $8,300 in fees on top, or $9,100 as an international student, plus a $1,500 non-refundable deposit to confirm enrollment. Full tuition and fee breakdown.

Options include merit scholarships, federal loans (for U.S. citizens/permanent residents), private educational loans, and personal resources. Applicants are directed to the University’s One Stop Student Services for comprehensive loan and financial aid details.

Curriculum

The program requires 45 credits and follows a structured, lockstep cohort curriculum. Coursework covers essential topics including exploratory and predictive analytics, causal inference, data engineering and foundational Artificial Intelligence concepts.

While this is a lockstep, cohort-based program, students are required to take 6 elective credits. As a part of those electives, students can pursue the "AI for Business Track", though there aren't any formal concentrations in the program. Elective credits can be used to take specialized technical courses or MBA courses.

Yes, a required summer term, real-world project executed through the Carlson Analytics Lab serves as the major practicum and experiential learning component.

Experiential learning runs through all three semesters of the MSBAi program, coordinated by the Carlson Analytics Lab. You work with real client companies every term, so you build applied experience year-round instead of waiting for a summer internship.

Fall and spring semesters include live case competitions: three to four week projects sponsored by local companies and run in small teams. Spring also brings the Big Data and AI Trends Marketplace, where your team builds an AI-enabled solution and presents it to industry professionals, faculty and alumni. Summer is the Experiential Learning Project, a five-credit capstone with a partner company.

The schedule is not flexible. Classes are scheduled during traditional business hours, requiring full-time, in-person attendance due to the lockstep nature of the program.

The Master of Science in Business Analytics & Artificial Intelligence is a one-year, lockstep cohort program that runs full-time from September through August. Courses are scheduled across fall, spring, and summer terms, following a structured sequence of core classes, electives and an experiential project.

The MSBAi curriculum uses Python and R extensively, along with common analytics and visualization tools. Coursework covers machine learning, AI methods, optimization, and databases, and other technologies relevant to business analytics projects.

The one-year Master of Science in Business Analytics & Artificial Intelligence program does not include a formal study-abroad or required global residency. Global engagement may occur through client projects and broader University resources, but a dedicated MSBAi study-abroad track is not part of the structured curriculum.

Because of the structured cohort format, specialization options are limited. You will have 6 elective credits to tailor your studies. Beyond that, the program does not offer further specializations.

For the most current elective offerings, please refer to the MSBAi curriculum.

The Carlson Analytics Lab (CAL) is the Carlson School's project-based analytics consulting group. MSBAi students complete paid-forward projects for real client companies with faculty support, tackling live analytics and AI problems rather than case studies.

CAL has partnered with startups through Fortune 100 companies, including Sun Country Airlines, Land O'Lakes, Mall of America and the YMCA of the North. Projects run every semester, so you build applied experience year-round without needing a separate internship.

No. The curriculum does not include an internship. Instead, you complete the Experiential Learning Project (ELP) during the summer semester. This 14-week project provides real work experience with a partner company.

AI appears in required coursework across all three semesters. Exploratory Data Analytics and Predictive Analytics cover machine learning, deep neural networks, and generative AI in the second semester. Responsible AI and Time Series Analysis and Forecasting follow in the third. Three AI electives are also available: Generative AI for Business Applications, Recommender Systems Techniques and Applications, and Prescriptive Analytics for Optimal Decision Making. Every semester includes a client project through the Carlson Analytics Lab.

Community & Careers

Students work with the Carlson Business Career Center (CBCC) throughout the program: one-on-one coaching, résumé and interview preparation, employer events, and job postings. MSBAi program staff support the search alongside CBCC. Career support starts in your first semester, which matters in a 12-month program where recruiting begins almost immediately.

Data Scientist is the most common first title, followed by Senior Data Analyst, Data Analyst, and Business Intelligence Engineer. Across the 2023-2026 graduating classes, 76% of graduates received an offer within 180 days and 73% accepted one, at a mean base salary of $103,051. 87% went into business analytics functions. View MSBAi employment statistics.

The Carlson Business Career Center and MSBAi program staff work with you from your first semester: coaching, résumé and interview prep, employer outreach, job postings, and events. In a 12-month program recruiting starts almost immediately, so support does too. Most graduates still drive their own search. Graduate-initiated activity accounts for 62.3% of accepted offers, compared with 23.8% from school-facilitated recruiting. And because MSBAi has no summer internship term, your Analytics Lab client projects are the applied experience employers ask about.

Yes. As the Master of Science in Business Analytics & Artificial Intelligence program is STEM-designated, eligible international graduates can apply for the 24-month STEM OPT extension, providing up to three years of work authorization in the U.S., subject to federal rules and Office of International Student and Scholar Services (ISSS) guidance.

Capital One, Amazon, Target, Walmart, Slalom, and McKinsey have hired the most MSBAi graduates as first employers. Financial services accounts for 34% of placements, followed by consulting at 16%, technology at 15%, and healthcare at 13%. Most graduates stay in the Twin Cities, with Seattle and the Bay Area next. View MSBAi employment statistics.

Student Life

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The MSBAi cohort typically runs 50 to 80 students. In the most recent entering class, students averaged 25 years old with 3.3 years of work experience and a median undergraduate GPA of 3.54. International students made up 62% of enrollment. View the MSBAi class profile.

MSBAi students have access to all Carlson graduate student clubs, organizations, and leadership development programs. View clubs and organizations.

MSBAi alumni concentrate in the companies students target most, including Amazon, Capital One, Target, and Microsoft, with the largest geographic clusters in the Twin Cities, Seattle, and the Bay Area. MSBAi graduates are also part of the broader Carlson alumni network of more than 60,000.

The student experience is immersive and cohort-based, characterized by a strong emphasis on collaboration, case-based study and close interaction with faculty and client companies through the Carlson Analytics Lab.

Students dedicate their time to full-time coursework, team projects, and client engagements on a year-round schedule. Collaboration is emphasized through small project teams, classroom discussions, Analytics Lab teams and co-curricular activities like case competitions.

Yes. MSBAi students can join many of Carlson’s 20+ graduate student organizations, including analytics-focused and professional clubs. They may also participate in Full-Time MBA clubs, which host speakers, site visits and social events.

Students receive close support from faculty who teach and supervise projects, an MSBAi program team for academic and co-curricular needs, and dedicated staff in the Carlson Business Career Center (CBCC) for career guidance.

Yes. MSBAi students interact with MBA and other master’s students through shared student organizations, events and case competitions.

Most MSBAi students live off campus. The University's Off Campus Living office maintains verified listings, neighborhood guides, and housing fairs where you can meet property managers directly. Limited on-campus graduate housing is available through Housing & Residential Life, though it's competitive and worth applying for early.

We generally do not recommend working while enrolled. The schedule is rigorous, involving 14-16 credits per semester plus intensive career coaching and client work.