MBA in Business Analytics: Specializations

Maximize your career options with a role in business analytics, currently one of the most in-demand skillsets worldwide.

Available business analytics specializations

You’ll need to take three elective courses within one specialization area to graduate with a specialization in that field.

Business Analytics
Data Science
Analytics & Programming

Business Analytics Specialization 1

Business Analytics

This specialization provides an introduction to data analytics for all business professionals. Learn how data analysts describe, predict, code, and inform business decisions across industries. You’ll develop basic data literacy and an analytic mindset to help make data-driven and strategic business decisions.

Specialization skills include:

Data Literacy

Data Analysis

Predictive Analytics

Data Visualization

Programming

Storytelling with Data

View Electives

Sample specialization courses include:

  • Introduction to Python Programming
  • Introduction to R Programming
  • Digital Analytics: Becoming a Digital Analytics Ninja
  • Machine Learning & AI
  • Data Visualization
  • Presenting & Persuading with Data
  • Business Intelligence
  • Analytics for Business Model Processing & Product Design

Business Analytics Specialization 2

Data Science

Become fluent in coding in R language and learn to solve quantitative business cases in areas of descriptive and predictive modeling (machine learning). Deep dive into techniques used to drive value from unstructured data, such as text, photos, pictures, and audio. Companies need more specialists that can work with unstructured data and these three courses offer those skills. You’ll be able to effectively work in analytics jobs and start working with different data sources on day one.

Prospective career paths: Data Analyst

Sample specialization courses:

  • Data Science in R
  • Unstructured Data: Text Analytics & NLP
  • Machine Learning Models in R

Business Analytics Specialization 3

Analytics & Programming

Dive deeper into analytics through programming languages and learn to understand the key differences between common languages such as Python, SQL, R, and others. Become familiar with the types of applications, databases, or other use cases for which each language is best suited. You’ll gain skills in all these program languages and be able to leverage these insights toward using data for business success.

Prospective career paths: Data Developer, Coding, Data Analyst

Sample specialization courses:

  • Introduction to Python Programming
  • Introduction to R Programming
  • Data Mining with Mysql, Nosql, Hadoop, Spark, and Hive
  • Not all specializations or elective courses will be available at every campus

  • Specializations or elective courses are subject to change

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Our international team of advisors is here to discuss your individual goals and answer all your questions. How you get in touch is up to you.

Application Deadline - Round 5

June 30, 2024

Priority is given to those who apply by the deadline. Our enrollment team will support and guide you through the entire process.