Business Analytics, M.S.

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MSBA Concentrations

Choose an area of concentration aligned with key growth areas within three industries:

Frequently asked questions

What skills will I learn in business analytics?
  • An understanding of database and data warehouse design principles
  • Foundational skills in industry-standard data analytics technologies and software
  • The ability to interpret and synthesize data to make practical recommendations
  • Effective communication and presentation skills
What technology is needed?

As you progress through the program, you will be working with a variety of databases, programs and software. The computers in the on-campus computer labs that School of Business students use are equipped to handle the high level of needs that the students in our MSBA program will have. However, to allow for more flexibility for you to do your work and assignments outside of the computer labs, we strongly recommend that you purchase the following computer to run Windows:

  • Operating System: Microsoft Windows 11
  • Processor: better than intel core-i7
  • Memory (RAM): 32 GB
  • Hard-drive: 512 GB Solid State Hard-drive (SSD) or larger
  • Warranty: 1-3 year manufacturer’s warranty
  • Graphic card: GeForce

It can be purchased from Whalley Computer at:
https://usm.channelonline.com/wca/clarkuniversity/Products/overview/M020348792 for $1,989.

Here is a web page from HP which has more information about the laptop:
http://www8.hp.com/us/en/laptops/product-details/product-specifications/29322815

What program pre-requisites are needed?

Students must satisfy the Master of Science in Business Analytics prerequisite courses prior to beginning their first semester at Clark University. Students must satisfy 1 Math or Statistics course and 1 Python or SQL Server Programming course. Please read below for prerequisite guidelines:

Math and Statistics (Probability and its Applications)

The prerequisite is automatically satisfied if the student took one (1) Statistics or Math course through an accredited college or university. The course must have been for credit and the student must have earned a letter grade. Students missing a prerequisite statistics class can complete STAT 4009 through Clark University prior to starting their program.

Courses taken through an open online courses platform (MOOC) will not satisfy the statistics prerequisites.

Python or SQL Server Programming

The common topics that the programming courses must cover are the syntax, algorithm, and programming skills of a popular programming language, such as Python, Java, C++, C, SQL, Visual Basic, Perl, PHP, or MATLAB.

The prerequisite is automatically satisfied if the student took one (1) course at an accredited college or university. Students can also satisfy this programming prerequisite if they successfully complete the following Online Certificate programs from either LinkedIn Learning or Udemy:

LinkedIn Learning

Click here for the “Python Essential Training” course
Click here for directions on how to download/print your certification

Udemy

Click here for the “Programming with Python: HandsOn Introduction for Beginners” course
Click here for directions on how to download/print your certification

Minimum Grade Requirements

Students must receive a B or higher from the courses taken at an accredited college or university in order to satisfy the pre-requisites. Students who take the Online Certificate for programming through LinkedIn Learning or Udemy must demonstrate the course completion and certificate received from the platform and submit it to their admissions representative.

EAS and Pathway

EAS and Pathway students who did not already satisfy the pre-requisites may complete them while taking their English language courses at Clark University. However, Statistics and Programming will not be part of the EAS curriculum. Students will need to complete the Statistics requirement online at Clark University STAT 4009 or online through another accredited university, and they must also complete the programming prerequisite through LinkedIn Learning or Udemy.