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  • M.S. in Business Analytics

    Explore our M.S. in Business Analytics
    Be part of the data revolution and gain the skills you will need to grow your career in the in-demand business analytics field.
    Degree:
    M.S.
    School:
    School of Business
    Location:
    Manhattan
    Credits:
    30

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Business Analytics M.S. Curriculum

Business Analytics Courses 30 Credits
Total 30 Credits

Quarter 1

  • MBAA 601 Quantitative Meth Bus Research
  • ANLC 751 Introduction to Managerial Analytics
  • ANLC 753 Data Visualization

Quarter 2

  • ANLC 752 Data Management
  • ANLC 754 Fundamental Modeling Methods for Business

Quarter 3

  • ANLC 761 Risk and Uncertainty Modeling
  • ANLC 762 Advanced Modeling Methods for Business
  • ANLC 763 Analytical Tools and Applications

Quarter 4

Elective (Choose 1)

  • ANLC 771 Customer Analytics
  • ANLC 772 Predictive Analytics for Finance
  • ANLC 773 Operations Research
  • ANLC 774 Project Management
  • ANLC 775 People Analytics

Capstone

  • ANLC 801 Capstone
Academic Program Sequence Map

Download a copy of the sequence map for:

M.S. Business Analytics

How long does it take to complete the Business Analytics Degree
The degree can be completed in one year.
Where are classes offered?
Classes are offered in Manhattan. Some courses are also offered online.
Do most students work while enrolled?
Yes. Many find the workload challenging but manageable.
Is Mercy College a nonsectarian institution?
Yes. Qualified applicants are admitted without regard to race, religion, national or ethnic origin, gender, sexual orientation, marital status, age or physical disability.
Are GMATs required?
No, GMATs are not required for admittance to Mercy’s Business Analytics Program. They may be used optionally.
Hattie Martin Visiting Instructor
Victoire Denoyel Assistant Professor

Business Analytics Overview

The Master of Science in Business Analytics prepares its graduates for employment in a high growth area of the economy. The program is offered to candidates who wish to enter or advance their careers in that field. 

Business Analytics graduates are in high demand, at the business world is undergoing a data revolution. Most companies are now gathering data with the objective of driving business decisions, and there is an identified and pressing lack of skilled graduates at the intersection of business and data science. 

Business Analytics FAQS

Where are classes offered?
Classes are offered in Manhattan. Some courses are also offered online.
Are GMATs required?
No, GMATs are not required for admittance to Mercy’s Business Analytics Program. They may be used optionally.
4 Core Competencies

You will develop 4 core competencies:

  • business acumen
  • applied mathematical modeling
  • computer programming skills (for business)
  • impactful communication of analyses and results. 

Career Opportunities

  • Financial analyst
  • Management analyst
  • Marketing analyst
  • Operations Research analyst
  • Operations manager
  • Analytics consultant

Admission Requirements

General requirements:

Please refer to general requirements for admission and matriculation


Program-specific requirements:

  • GPA of 3.0 or higher
  • Candidates will submit an application package containing:
    • Resumé
    • Essay on their motivations
    • Academic transcript of bachelor's degree

Advanced Excel competency is required. In order to prove advanced Excel competency MS Excel certification is preferred, or candidates may justify in their essay of significant professional experience with Excel or advanced coursework.

Degree Requirements

The degree completion requirements for the program are:

  • Completion of the 30 hours of credit (including 3 hours of elective and 3 hours capstone)
  • A minimum overall GPA of 3.0
Expectations of the Graduate
  • Students should be able to give accurate descriptions and critical thoughts on how data flows within an organization and how it adds value to the organization.
  • Students should be able to utilize applicable statistical methods and tools to achieve specific outcomes using data.
  • Students should be able to develop data-driven stories with the intent to:  inform, educate or persuade through analysis and visual representation of data.

Program Outcomes

  1. Students will be able to give accurate descriptions and critical thoughts on how data flows within an organization and how it adds value to the organization
  2. Students will be able to utilize applicable statistical methods and tools to achieve specific outcomes using data
  3. Students will be able to develop data-driven stories with the intent to:  inform, educate or persuade through analysis and visual representation of data
  4. Students will be able to critically think about the role of tools in analytics, current limitations and opportunities (and needs) for growth in data and analytics
  5. Students will be able to identify ethical pitfalls faced in the utilization, manipulation, and management of data in an organization
  6. Students will be able to form thoughtful arguments on the role of data, automation, technology and the human processes that achieve optimal balance in decision-making in business
Program Learning Goals
  1. Students are expected to develop a comprehensive understanding of how data flows within an organization and how data and associated tools add value to the organization
  2. Students are expected to demonstrate the ability to apply quantitative methods to manipulate data in order to formulate strategic insights with it
  3. Students are expected to demonstrate effective professional written, oral, and presentation skills of complex quantitative data
  4. Student are expected develop a broader perspective of the future of analytics and emerging tools and methodologies
  5. Students are expected to evaluate ethical issues in analyzing, utilizing, and managing data
  6. Students are expected to develop awareness of the benefits and limitations of data and technology in order to most effectively utilize it in decision-making