Business Analytics

• Completed Graduate Admissions Application and Application Fee of $100.

• Bachelor’s degree in a related field from an accredited college or university in the United States or degree equivalent to a U.S. bachelor’s degree (outside U.S.) i.e., bachelor’s degree in computer science, Information Technology, Software Engineering, Electronics & Communications, Electrical Engineering, Robotics Engineering, Cyber Security, Artificial Intelligence, Communications Engineering, Data Science, Computer Applications, or Computer Engineering. If the prospective student has a degree other than those listed, the College will consider admissions to the program based on the degree earned and relevant information technology work experience.

• Official transcripts are required. The Prospective student must arrange to have an evaluation of the foreign transcript by American Association of Collegiate Registrars and Admissions Officers (AACRAO)’s International Education Services, a member of Association of International Credential Evaluators (AICE),or National Association of Credential Evaluation Services (NACES). The cost for foreign transcript evaluation is the responsibility of the student.

• Proof of English Language Proficiency (TOEFL/IELTS/PTE/Duolingo Score Report).
  • Non-native English speakers who did not complete post-secondary education exclusively in the English language must provide proof of English language proficiency

• Professional Resume

• GRE optional.

Graduates will be able to:

• Utilize data analytics tools to support decision-making.

• Engineer, manage, and query databases for business applications.

• Apply machine learning models to solve business problems.

• Perform data mining and business intelligence analysis.

• Integrate analytics into organizational processes for performance optimization.

• Demonstrate leadership and collaboration skills in business settings.

The Master of Science in Business Analytics prepares graduates for advanced analytical, strategic, and leadership roles in organizations that leverage data for decision-making. With training in database systems, data engineering, machine learning, and business intelligence, graduates are positioned to work across industries such as finance, healthcare, retail, government, technology, and manufacturing.

Potential Job Titles and Descriptions:

• Data Analyst – Collects, processes, and analyzes data to identify trends, create reports, and provide actionable business insights.

• Business Intelligence (BI) Analyst – Designs and develops dashboards, reporting systems, and performance metrics to support data-driven decision-making.

• Data Scientist – Builds predictive models, performs statistical analysis, and applies machine learning to solve complex business problems.

• Marketing Analyst – Uses analytics to measure campaign performance, customer behavior, and market trends to optimize marketing strategies.

• Financial Analyst – Analyzes financial data to guide investment decisions, budgeting, and risk management.

• Supply Chain Analyst – Improves supply chain efficiency by forecasting demand, optimizing inventory, and streamlining logistics operations.

• Operations Analyst – Examines operational processes to identify inefficiencies, recommend improvements, and measure performance outcomes.

• Healthcare Analyst – Applies data analytics in medical and healthcare settings to improve patient care, optimize operations, and comply with regulatory requirements.

• Market Research Analyst – Studies market conditions, consumer preferences, and competitive landscapes to guide product development and positioning.

• Risk Analyst – Evaluates and quantifies risks associated with investments, business strategies, and operational processes.

• E-Commerce Analyst – Monitors and optimizes online retail operations, pricing strategies, and customer experiences using analytics.

• Customer Insights Analyst – Leverages customer data to enhance personalization, loyalty programs, and retention strategies.

• Retail Analyst – Analyzes sales performance, inventory trends, and customer demographics to improve retail profitability.

• Fraud Analyst – Detects, investigates, and prevents fraudulent activities through data monitoring and pattern analysis.

• Government Analyst – Uses data to inform public policy, improve public services, and support government decision-making.

Industries and Applications:
Graduates can apply their skills in:

• Finance and Banking – Risk assessment, fraud detection, credit scoring, investment analytics.

• Healthcare – Clinical data analysis, patient outcomes tracking, cost reduction strategies.

• Retail and E-Commerce – Sales forecasting, customer segmentation, targeted marketing.

• Manufacturing – Process optimization, supply chain efficiency, predictive maintenance.

• Technology – Product development, user behavior analytics, operational intelligence.

• Government – Public policy analysis, program evaluation, resource allocation.

Work Environments:

• Corporations and enterprise organizations

• Consulting firms specializing in analytics and business transformation

• Startups focused on data-driven products or services

• Government agencies at local, state, and federal levels

• Research organizations and think tanks

• Healthcare systems and hospital networks

With the rapid expansion of data-centric decision-making, the demand for professionals with strong business analytics skills continues to grow, offering opportunities for advancement into senior roles such as Analytics Manager, Chief Data Officer, or Director of Business Intelligence.

The Master of Science in Business Analytics is a 30-credit program completed in 20 months with continuous enrollment. It is designed for working professionals and culminates in a real-world business analytics project.

Graduates are awarded a Masters in Business Analytics

Key study areas include:

• Business analytics methods and strategies

• Database management systems

• Data engineering

• Data mining for business applications

• Integrated business process optimization

• Machine learning for business analytics

• Research methodologies

• Leadership training

Students must complete a technology check to ensure they have the minimum required computer and internet resources before enrollment.

Prospective students must complete a Professional College Advisory Session (PCAS) with an Admissions Representative and then submit the Graduate Admissions Application and supporting documents.