The University of Cincinnati’s Master of Science in Business Analytics program is nationally recognized and has a proven track record with placing students at successful, high-profile companies. Predictive Analytics Today named UC as the No.1 MS in Data Science school in the country and Quacquarelli Symonds (QS) ranked us 18th globally and 7th nationally among U.S. public universities. Financial aid is available in the form of scholarships and assistantships and is awarded on a competitive basis.

Lindner's Master of Science in Business Analytics program provides you with expertise in descriptive, predictive, and prescriptive analytics. This program begins in August and classes are offered full- or part-time. Full-time students typically complete the program in nine months or one year. Classes are available in the late afternoon, evening, and Saturday for part-time students.

Business Analytics Curriculum

In the Master’s in Business Analytics program, students work on real-world projects and learn the skills necessary to succeed in data visualization, statistical modeling, data mining, optimization, and simulation in order to proficiently analyze large datasets and generate actionable insights. Classes include Statistical Computing, Data Mining, Data Management, and Probability Models.

Program Details
The University of Cincinnati Master of Science in Business Analytics program is designed to provide you with a strong foundation in all areas of business analytics while allowing you flexibility to tailor the program based on your individual interests and career plans. Our program is nationally ranked yet competitively-priced and our business analytics faculty is comprised of both world-class instructors who conduct advanced analytics research and real-world industry practitioners.

Mathematics prerequisites 
Mathematics requirements which must be completed before entering the MS Business Analytics program.
Course number    Course title    Credits
MATH 1061    Calculus I    4
MATH 1062    Calculus II    4
MATH 2063    Multivariable Calculus    4
MATH 2076    Linear Algebra    3
n/a    Fundamental Computing Knowledge    n/a

Course descriptions 
Mathematics prerequisites
MATH 1061: Calculus I, MATH 1062: Calculus II, and MATH 2063: Multivariable Calculus
These courses are not the applied courses typically taken by business or social science majors. Topics of coverage should include: functions; limits and continuity; derivatives; applications of the derivative; the integral and applications; exponential and logarithmic functions; inverse functions; techniques of integration; polar coordinates; conic sections; Taylor's formula; improper integrals; sequences and series; vectors; lines; planes; vector-valued functions; partial derivatives; multiple integrals; calculus of vector fields.

MATH 2076: Linear Algebra
Topics should include: systems of linear equations; matrices; vector spaces; bases and dimension; orthogonality; linear transformations; determinants; eigenvalues and eigenvectors; diagonalization.

Fundamental Computing Knowledge
This includes facility in a procedural programming language like Ruby, Python, C, C++, Matlab, Java, Visual Basic, Pascal, or FORTRAN. It is also assumed that a student is already comfortable with spreadsheets, word processing, e-mail, web browsers, etc.

Careers 

More than 90% of graduates are employed within three months of graduation.

Students are hired by leading employers such as Amazon, Disney, U.S. Bank, IBM, Kroger, Macy’s, Morgan Stanley and Procter & Gamble.

Recent graduates have accepted jobs in a wide variety of fields as data scientists, consultants, consumer analysts and financial risk analysts.

Admission Requirements

• Applicants must have an undergraduate bachelor’s degree from a regionally-accredited institution.
• Three semesters, or four quarters, of college-level calculus through multivariate calculus. One course in linear algebra or matrix methods
• A fundamental knowledge of computing, including facility in a procedural programming language like C, C++, Java, Matlab, Python, R, Ruby, SAS or Visual Basic. 
• Official GRE or GMAT scores
• Academic transcripts (unofficial transcripts are used for admissions review, official transcripts required when offered admission)
• Two letters of recommendation
• Essay
• Resume
• Official TOEFL or IELTS scores (international applicants only)

Tuition fee-1 year-$35,000