Business Analytics Montclair State University

Overview

The Business Analytics programme at Montclair State University is designed to equip professionals with the technical expertise required to solve complex modern business challenges. Offered through the Feliciano School of Business, this curriculum blends rigorous theoretical foundations with practical, hands-on applications in data science.

Students benefit from a cohort-based structure that fosters a collaborative learning environment and strong professional networks. The programme is led by expert faculty members who bring extensive industry experience into the classroom, ensuring that the teaching remains relevant to current market demands and technological trends.

Why Business Analytics at Montclair State University?

The university provides a distinctive learning experience through its Feliciano School of Business, which emphasises experiential learning. A standout feature of the programme is the mandatory three-to-five-day domestic trip, allowing students to observe how leading organisations apply analytics in real-world settings.

Facilities and support services are tailored to graduate success, including free dedicated tutoring for analytics students. The programme also offers significant flexibility with three distinct pathways: a fully online route for working professionals, a full-time hybrid immersion, and an accelerated 4+1 option for eligible internal undergraduates.

Students gain access to extensive career resources and networking opportunities through executive speaker workshops and campus events. The university's strong links with industry partners provide a bridge to the professional world, supported by tools like Handshake for securing internships and high-level roles in the data sector.

Tuition Fee Breakdown

• International fee: USD 858 per credit
• National fee: USD 858 per credit
• Local fee: USD 858 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to build proficiency in essential tools such as Python, Tableau, Power BI, and Excel. Before starting the core programme, students must complete a foundational module to ensure quantitative readiness.

Modules may include:

• Basic Statistics
• Statistical Data Analysis
• Data Visualization
• Machine Learning
• Artificial Intelligence
• Business Analytics Practicum

Careers with Business Analytics

Graduates are prepared for a wide range of high-demand roles across various global industries. The programme focuses on developing the skills necessary to transition into technical and strategic positions that rely on data-driven decision-making and predictive modelling.

Common career paths for graduates include:

• Business and Data Analysis
• Analytics and Consulting
• Data Science and Artificial Intelligence
• Market Research and Business Intelligence
• Business Transformation Consultant

The comprehensive training in Python and statistical tools ensures that alumni are competitive candidates for roles in top-tier consultancy firms and multinational corporations. Many graduates find success in identifying market trends and creating intelligent systems for diverse organisations.