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.
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M.S. in Business Analytics
Degree:
M.S.School:
School of BusinessLocation:
ManhattanCredits:
30
Get More Info
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:
How long does it take to complete the Business Analytics Degree
The degree can be completed in one year.
Do most students work while enrolled?
Yes. Many find the workload challenging but manageable.
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.
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.
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
Yes. Qualified applicants are admitted without regard to race, religion, national or ethnic origin, gender, sexual orientation, marital status, age or physical disability.
Yes. Many find the workload challenging but manageable.
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
- Personal Statement ( motivations, career plans, etc.)
- Academic transcript of bachelor's degree
- Interview
Advanced Excel competency is required. In order to prove advanced Excel competency MS Excel certification is preferred, or candidates may justify in their personal statement 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
- 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
- Students will be able to utilize applicable statistical methods and tools to achieve specific outcomes using data
- Students will be able to develop data-driven stories with the intent to: inform, educate or persuade through analysis and visual representation of data
- 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
- Students will be able to identify ethical pitfalls faced in the utilization, manipulation, and management of data in an organization
- 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
- 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
- Students are expected to demonstrate the ability to apply quantitative methods to manipulate data in order to formulate strategic insights with it
- Students are expected to demonstrate effective professional written, oral, and presentation skills of complex quantitative data
- Student are expected develop a broader perspective of the future of analytics and emerging tools and methodologies
- Students are expected to evaluate ethical issues in analyzing, utilizing, and managing data
- 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
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