MicroMasters Program in Business Analytics

Course Overview

Business analytics has become one of the most critical skills for organizations aiming to compete in a data-driven world. The Advanced Program in Business Analytics provides professionals with graduate-level knowledge in analytics, optimization, and predictive modeling, equipping them to transform data into actionable business strategies.

With more than 450 hours of online learning, the program combines theoretical foundations with applied practices in data science, visualization, and optimization techniques. Participants will work on real-world projects, case studies, and applied assignments to build the expertise required for leadership in analytics-driven decision-making.

Meet Your Instructors

  • Prof. Ethan Roberts, PhD in Business Analytics – Specialist in optimization models, predictive analytics, and statistical applications in business.

  • Dr. Maya Kapoor, PhD in Information Systems – Expert in BI tools, data visualization, and enterprise analytics systems.

  • Prof. Daniel Foster, MSc in Data Science – Consultant in machine learning, decision sciences, and data governance frameworks.

Program Structure – Modules

  • Module 1: Foundations of Business Analytics and Statistical Methods

  • Module 2: Data Visualization and Dashboard Design

  • Module 3: Predictive Analytics, Forecasting, and Machine Learning

  • Module 4: Optimization Models and Decision Sciences

  • Module 5: Business Intelligence Tools and Applied Analytics

  • Module 6: Data Governance, Ethics, and Responsible Analytics

  • Module 7: Capstone Project – Solving Real-World Business Analytics Problems

What you will learn

  • Apply statistical and data science methods to solve business challenges

  • Build dashboards and visualizations using BI tools to communicate insights

  • Perform predictive analytics and optimization for strategic decision-making

  • Understand frameworks for data governance and ethical analytics practices

  • Develop practical expertise through applied projects and a capstone assignment

How you will benefit

  • Gain advanced graduate-level knowledge in business analytics and optimization

  • Strengthen employability in roles such as Business Analyst, BI Specialist, or Analytics Manager

  • Build a professional portfolio with applied analytics projects

  • Prepare for leadership roles in data-driven decision-making and organizational strategy

How the course is taught

  • 100% online with flexible scheduling

  • 450+ hours of structured learning, assignments, and projects

  • Includes applied case studies and a capstone project

  • Self-paced format with immediate enrollment access

Our Value Proposition

Central Hub

Gather all your networking courses in one organized platform.

Professional Proof

Build an online resume that showcases your skills instantly.

Global Community

Connect with learners worldwide and share insights.

Continuous Growth

Keep learning seamlessly, whenever and wherever.

Organized Learning

 Customize your environment to stay focused and clutter-free.

Transformative change

Gain knowledge and skills that reshape your path forward.

(FAQ)

What is Atenea Learning?

Atenea Learning is a centralized platform that helps you organize, access, and succeed in networking courses, with community interactions and tools for professional growth.

There are over 200 networking and professional-development courses ready to enroll.

Yes! You can create a professional online resume to showcase your skills and experience.

Definitely. You’ll be able to interact socially with other learners around the world.

Yes, learning is designed to be continuous and accessible at your convenience, so you can grow at your own pace.

Absolutely. Atenea allows you to organize and tailor your learning environment according to your preferences.

  1. It’s ideal for anyone wanting to advance in networking, build professional credentials, and join a global community of learners.

750,00 

Columbia University (edX) — Graduate-level MicroMasters (~450+ hours) — Online

Related Products