Master in Business Intelligence & Analytics
Hoboken, USA
DURATION
2 Years
LANGUAGES
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PACE
Full time, Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
USD 18,340 / per semester *
STUDY FORMAT
Distance Learning, On-Campus
* /semester Full-time Tuition Rate (9-12 credits)
Introduction
Overview
Master Data-Driven Quantitative Skills: The Business Intelligence and Analytics curriculum emphasizes quantitative skills and provides students with a robust understanding of statistical analysis and data modeling, essential for extracting insights from complex datasets. Mastery of these concepts equips graduates to analyze data effectively and adapt to evolving business analytics tools and technologies.
Industry Relationships Spur Career Growth: Close ties with industry professionals offer students opportunities to understand real-world challenges, best practices and build networks for career advancement. Collaboration with industry partners on projects and internships exposes students to practical applications of data analytics and enhances their understanding of how data drives business innovation.
Hands-On, Real-World Project Experience: Projects simulating actual industry scenarios prepare students for the demands of the workforce by honing critical thinking, problem-solving and collaboration skills. Students learn to effectively communicate their findings by collecting, analyzing and interpreting data.
Specialization Opportunities to Tailor Your Experience: Students can choose between data analytics, data science and AI, or big data tracks to ensure their education aligns with their career goals. Each specialization offers unique insights and skills highly valued in the job market, whether it's analyzing data for business decisions, leveraging advanced algorithms for predictive modeling or efficiently managing large volumes of data.
An Enhanced Student Experience: Business Intelligence and Analytics students have the chance to supplement their experience by participating in events that bridge the gap between academia and industry, technical boot camps in essential tools such as Python, R and Tableau, student clubs and digital webinars with data analysts and scientists from across sectors. Stevens students also build digital portfolios of real-world projects and utilize School of Business-specific placement services such as resume development, interviewing skills and networking events to help them secure employment at top companies in the industry.
Invaluable Networking Opportunities: Students can participate in the Industry Capstone program, which connects them with companies and offers networking opportunities to advance their careers.
Meet the director: Dr. Christopher Asakiewicz
Dr. Asakiewicz has done pioneering work in knowledge mining and its applications in business, especially life sciences. Previously, he spent two decades in management roles in the life sciences industry, retiring from Pfizer as vice president for global pharmaceuticals.
Admissions
Curriculum
Curriculum Overview
The master's program trains students to understand both the business implications of Big Data and the technology that makes that data useful. In doing so, it leans heavily on the high-tech infrastructure at Stevens, which gives students direct exposure to the kind of challenges they will engage in the workplace. Students will cultivate the skills to collect, analyze and interpret data in strategic data planning and management; databases and data warehousing; data mining and machine learning; network analysis and social media; and risk, modeling, and optimization, and will learn to apply those skills to business problems in order to form an actionable strategy.
Core curriculum
The master's in Business Intelligence & Analytics can be completed entirely online. Courses indicated with (O) are available online.
- FIN 615 Financial Decision Making (O)
- MIS 630 Data Management (O)
- MIS 636 Data Warehousing and Business Intelligence (O)
- BIA 650 Process Optimization and Analytics (O)
- BIA 670 Risk Management and Simulation (O) *
- BIA 652 Multivariate Data Analytics (O)
- BIA 654 Experimental Design (O)
- MIS 637 Data Analytics and Machine Learning (O)
- BIA 656 Advanced Data Analytics and Machine Learning *
- BIA 658 Social Network Analytics (O)
- BIA 660 Web Mining (O) *
- BIA 662 Cognitive Computing *
- BIA 664 Data and Information Quality *
- BIA 670 Risk Management: Methods and Applications *
- BIA 672 Marketing Analytics (O) *
- BIA 674 Supply Chain Analytics (O) *
- BIA 676 Data Streams Analytics: Internet of Things *
- BIA 678 Big Data Technologies (O)
- BIA 686 Practicum in Analytics
* Choose two with advisor permission
** International students may take BIA 702 Curricular Practical Training with advisor permission.
Program architecture
The Business Intelligence & Analytics program was designed to prepare professionals for the varied set of skills they will need to become standouts in this rapidly shifting field. The four components of the curriculum ensure students develop practical knowledge that positions them to excel on the job.
- Professional skills
- Disciplinary knowledge
- Technical skills
- Infrastructure
Concentrations
The master's program includes a concentration tailored to the career demands of students in data science.
Data Science
This highly flexible concentration prepares students to become specialists in the highly in-demand field of data science. Working with their advisor, students select between two and four courses offered in the Computer Science, Financial Engineering and Mathematics departments at Stevens.
Rankings
Rankings
U.S News & World Report
- Top 100 Best Graduate Business Schools
- Top 20 Non-MBA Online Business Programs
- Top 100 National Universities
- Top 50 Most Innovative Schools
The Princeton Review
- Among “Best Business Schools”
- Top 20 Best Career Placement
University HQ
- Top 10 Best Online Master's in Data Science Degrees
Program Outcome
Outcomes
- 98% of graduates are employed within six months of graduation
- $102,875 average compensation for graduates within six months of graduation
Gallery
Career Opportunities
The Master's in Business Intelligence and Analytics develops in-demand knowledge and skills to put you on track for career success in a variety of roles like:
- Artificial Intelligence Engineer
- Business Analyst
- Business Intelligence Consultant
- Data Analyst
- Data Engineer
- Software Development Engineer
Organizations hiring Business Intelligence and Analytics graduates include companies such as: Amazon, BlackRock, Capital One, Caterpillar, JPMorgan Chase & Co., Wolters Kluwer and more.
Student Testimonials
Program Leaders
English Language Requirements
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