Enhance your expertise and propel your career forward with Stevens Institute of Technology’s Master’s program in Business Intelligence and Analytics. This comprehensive program seamlessly integrates data science skills with an innovative curriculum designed to meet the evolving demands of the business world.

Why Choose a Data Science Master’s Degree?

In today’s data-driven landscape, a data science master’s degree equips you with the quantitative and analytical skills essential for making informed, evidence-based decisions. The Stevens School of Business offers a curriculum that not only covers fundamental statistical analysis and data modeling but also delves into advanced topics like machine learning, deep learning, and artificial intelligence. This holistic approach ensures that graduates are well-prepared to tackle complex business challenges and drive strategic initiatives.

Program Highlights

Master Data-Driven Quantitative Skills

The program emphasizes robust quantitative skills, providing a deep understanding of statistical analysis and data modeling. Students gain proficiency in tools and technologies such as Python, R, SAS, Hadoop, and Spark, enabling them to extract meaningful insights from complex datasets. This strong foundation allows graduates to adapt to and leverage evolving business analytics tools effectively.

Industry Relationships Spur Career Growth

Stevens Institute fosters close ties with industry professionals, offering students opportunities to engage with real-world business challenges. Through collaboration on projects and internships, students build valuable networks and gain practical experience that enhances their employability. These industry partnerships ensure that the curriculum remains relevant and aligned with current market needs.

Hands-On, Real-World Project Experience

The program includes numerous hands-on projects that simulate actual industry scenarios. These projects hone critical thinking, problem-solving, and collaboration skills, enabling students to effectively communicate their findings. The capstone experience allows students to work on impactful projects using real data under the guidance of industry mentors, bridging the gap between academic learning and professional application.

Specialization Opportunities

Students can tailor their education by choosing from specializations in data analytics, data science and AI, or big data. Each track offers unique insights and skills highly valued in the job market, whether it’s leveraging advanced algorithms for predictive modeling, managing large data volumes, or analyzing data for strategic business decisions.

Curriculum Overview

The Master’s in Business Intelligence and Analytics program features a rigorous curriculum that blends theory with practical application. Key courses include:

Foundations of Business Analytics: Covers essential mathematical and statistical concepts using Python for business applications.
Financial Decision Making: Teaches corporate financial management and decision-making to maximize shareholder value.
Data Management with Lab: Focuses on data and database management, strategic data planning, and data integration.
Business Intelligence & Data Integration with Lab: Explores data warehouse systems and business intelligence strategies.
Optimization and Process Analytics: Emphasizes process improvement through mathematical optimization models.
Multivariate Data Analytics: Introduces methods for analyzing complex datasets using R.
Data Analytics and Machine Learning: Covers data mining algorithms and their business applications.

Concentrations & Electives

Students can further specialize by selecting courses in areas such as Social Network Analytics, Marketing Analytics, Supply Chain Analytics, and Management of AI Technologies. These electives allow for a customized learning experience that aligns with individual career goals.

Career Opportunities

Graduates of the Master’s in Business Intelligence and Analytics program are well-equipped for a variety of high-demand roles, including:

Artificial Intelligence Engineer
Business Analyst
Business Intelligence Consultant
Data Analyst
Data Engineer
Software Development Engineer

Top employers include industry leaders like Amazon, JPMorgan Chase & Co., Capital One, and Wolters Kluwer, providing ample opportunities for career advancement.

Application Information

The program offers flexibility with both full-time and part-time options. Key application deadlines include:

Master’s Full-Time: April 15 (Fall), November 1 (Spring)
Master’s Part-Time: August 15 (Fall), January 1 (Spring)

Applicants are encouraged to apply by the preferred deadlines, especially those requiring F1 Visa processing. GMAT/GRE scores are optional, allowing candidates to showcase their potential beyond standardized testing.

Enhance Your Learning with Airbook

To complement your data science master’s degree, consider leveraging Airbook, a transformative platform that centralizes go-to-market (GTM) data analytics and workflows. Airbook’s AI-powered data analysis tools can help you extract actionable insights, unify data from various sources, and streamline decision-making processes. Whether you’re focusing on revenue operations, marketing analytics, or data exploration, Airbook provides the necessary tools to enhance your analytical capabilities and drive business success.

Unlock your potential and advance your career with Stevens Institute of Technology’s Master’s program in Business Intelligence and Analytics. Discover more with Airbook.

Call to Action

Ready to take the next step in your data science career? Explore Airbook today and discover how you can streamline your data analytics workflows and drive impactful business decisions.