Master Data. Don’t Let It Master You.
“Everyone is talking about data and harnessing data to help them drive their businesses. Zicklin was offering a business analytics program that I was looking for and the program is a great amalgamation of data and business. Doing my Master’s at Zicklin has been one of my best investments,” says Shilpa Paidighantom (’22)
Mehdi Lahlou Charki came to America from France in 2015 to earn a BBA in Finance at the Zicklin School, then stayed on for an MS in Business Analytics (MSBA). “Zicklin opens its doors to students from many different backgrounds,” Mehdi says. “The MSBA program is very well structured, and because it doesn’t require prior experience in programming and computing, I’ve been able to get comfortable with new skills.”
Big Data is defining the 21st century. Organizations that can master this data deluge and take advantage of the insights generated by data analytics have tremendous advantage over their competition. As a result, professionals with rigorous training in the expert interpretation of data, who can initiate and evaluate Business Analytics projects, are in high demand.
Zicklin’s specialized Master’s in Business Analytics (MSBA) equips business professionals with the tools necessary to manage data ethically for business success. Students will become expert data analysts who can explore patterns, reveal trends, uncover relationships, and transform data into a catalyst for business growth. More critically, they will also gain the knowledge needed to initiate and evaluate projects that harness this deluge of data.
The MSBA opens the door to exciting new careers in the fast-growing fields of data science and business analytics.
The degree is designed for students who are analytically capable and have taken at least one statistics course at the college level in the last five years. The program introduces students to core concepts in Business Analytics with a set of required courses. Students then have the flexibility to specialize in one of the two tracks – data analytics or marketing analytics.
- Specializations in data analytics and marketing analytics
- Curriculum closely tied to business practices reflecting the rapid changes in technologies and skill-sets
- Prepares students for careers in various industries, including accounting, finance, marketing, technology, healthcare, public service, and education
- Offers hands-on experience using the latest software tools and programming languages, such as R, Python, Rapid Miner, Hadoop, Spark and SQL
- STEM extension for international students
- Full-time students can expect to complete the degree requirements in 3 semesters
The Zicklin Advantage
- Flexibility – Take classes in the evening and complete your degree on a part-time or full-time schedule.
- Midtown Location – Experience the energy and opportunity that New York City brings to our centrally located Manhattan campus.
- Career and Professional Development – Take advantage of the suite of services offered by our Graduate Career Management Center, designed to provide you with the tools, resources, and connections necessary to successfully manage your career.
Visa Extension for STEM International Students
The MS in Business Analytics conforms to the U.S. Department of Homeland Security’s STEM (Science, Technology, Engineering, Math) program that qualifies eligible international graduates on student visas for an optional practical training extension of 24-months. Find out more here.
Preliminary Course (3 credits)
|Students with appropriate academic background will be able to reduce the number of preliminary requirement credits.|
|Zicklin Course||Zicklin Course Title||Credits|
|STA 9708||Managerial Statistics||3|
STA 9708 is waived based on 6-credits of prior coursework in statistics with a minimum grade average of B-, within 5 years of entering the MS program.
This curriculum is effective for students entering in Fall 2022. Students who entered prior to Fall 2022 should review the Graduate Bulletin for their semester of entry or contact a program advisor to confirm their degree requirements.
Total credits will range from 33 (no preliminary courses required) to 37 (all preliminary courses required).
Required Courses (21 credits)
|BUS 9551||Business Communication I||1.5|
|BUS 9425||Ethics in Business Analytics||1.5|
Applied Statistics for Business Analytics OR Software Tools for Data Analysis
|CIS 9340||Principles of Database Management Systems||3|
|CIS 9650||Programming for Business Analytics||3|
|CIS 9660||Data Mining for Business Analytics||3|
|OPM 9500 OR OPR 9721||Decision Models and Analytics OR Intro to Quantitative Modeling
|BUS 9430||Business Analytics Project Lifecycle Management — Capstone Course||3|
Specializations (Select one: Data Analytics (6 credits), Marketing Analytics (6 credits), or Accounting Analytics 6-7 credits)
|CIS 9760 OR CIS 9440||Big Data Technologies OR Data Warehousing and Analytics||3|
|CIS 9655||Data Visualization||3|
|CIS 9665||Applied Natural Language Processing||3|
|MKT 9737||Marketing Analytics||3|
|MKT 9738 OR MKT 9741||Web Analytics and Intelligence OR Marketing Analytics with Big Data||3|
|MKT 9742||Social Media Analytics||3|
|ACC 9806* OR ACC 9993*||Financial Statement Analysis and Reporting OR Special Topics in Accounting||3|
|ACC 9886*||Data Analytics in Accounting||4|
*The courses listed for the Accounting Analytics concentration typically require an accounting background through a prior degree.
Electives (6-7 Credits)
Choose 6 credits of 9000-level courses from the graduate offerings of the Zicklin School of Business, except for courses applied towards a prior master’s degree. Students may take up to 3 credits of internship (BUS 9801-9803 or BUS 9811-9813) toward their business electives. Advisors can provide a list of recommended electives.
“Big Data is defining the 21st century. The data revolution is here, and this cutting-edge program will help students and organizations manage the transformation successfully.”
Nanda Kumar, PhD
We are seeking candidates with strong analytical skills. The admissions committee holistically evaluates all required application documents, including GMAT or GRE scores, academic transcripts, resume, essays, and letters of recommendation.
Are you a manager with five or more years of business experience? Consider our Executive MS in Information Systems with a concentration in data analytics.