Program overview
Admission Requirements
Intakes

Last updated on 2026-05-15

Program overview

Program Overview

The world of business is rapidly evolving, and data is changing that landscape. Making informed decisions supported by data is critical to remaining competitive in today’s global economy. Traditional analytics is no longer enough. Businesses need individuals who can not only conduct advanced analyses, interpret their insights, and recommend solutions but who can also act as a bridge between the business team and the data analyst. Graduates of the Business and Advanced Analytics program fill this need.

 

Our graduates establish business requirements and conduct advanced analyses to formulate data-driven solutions that support business decisions and promote competitive advantage. They also possess the insight needed to fluently articulate a range of business matters to diverse stakeholders. They develop knowledge and skill in areas such as business requirements, processes, and strategy, statistics, data programming, data engineering, predictive analytics, Machine Learning, Cloud, visualizations, and storytelling.

 

The program content also covers the domains of INFORMS’ Certified Analytics Professional (CAP) certification.

Program Structure

The Information Technology: Business and Advanced Analytics program is designed to be completed within a two-year timeframe of full-time study. This program offers a comprehensive curriculum that prepares students for the evolving demands of the business analytics field.

 

  • Program Length: Two years of full-time study
  • Delivery Method: Blended delivery format
  • Capstone Project: A culminating project that integrates learning across the program
  • Admission Requirements: A diploma or degree in relevant fields or equivalent experience

 

Students are encouraged to have a solid foundation in mathematics, statistics, Excel, and basic programming prior to starting the program. This ensures they are well-prepared to tackle the advanced concepts covered throughout their studies.

Featured Experiences

  • Capstone Project: A hands-on project that allows students to apply their learning to real-world business problems.
  • Blended Learning: Combines online and in-person learning experiences to enhance flexibility and accessibility.
  • Industry-Relevant Skills: Focus on practical skills in data analysis, machine learning, and business strategy.
  • Networking Opportunities: Engage with industry professionals and potential employers through various events and projects.

Career Options

  • Business Analyst: Analyze business needs and provide data-driven recommendations to improve processes and outcomes.
  • Data Scientist: Utilize statistical methods and machine learning to analyze complex data sets and derive actionable insights.
  • Business Systems Specialist: Design and implement systems that enhance business operations and data management.
  • Data Engineer: Build and maintain the architecture for data generation and processing, ensuring data is accessible and usable.
  • Consultant: Provide expert advice to organizations on data analytics strategies and implementation.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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