Mercy College

What you'll study

The programme combines core quantitative methods with applied business coursework and a culminating practicum. Typical modules cover data mining and predictive analytics, statistical inference and machine learning, database design and SQL, big data technologies, data visualisation and dashboarding, and optimisation for business decisions. Students also study business-focused subjects such as managerial economics, operations analytics, marketing analytics and ethics in data use.

Coursework emphasises hands-on use of industry tools and programming languages commonly used by employers, including R, Python, SQL and visualisation platforms. Assessment methods include project work, case studies, group assignments and a capstone project or internship that requires students to solve a real organisational problem using analytical techniques.

Entry requirements

Applicants are normally expected to hold a recognised bachelor's degree in business, economics, mathematics, computer science, engineering or a related discipline. Admissions typically consider academic transcripts, a current CV or résumé, a personal statement and references. Relevant work experience in business or data-related roles can strengthen an application.

Applicants without a quantitative undergraduate degree may be required to demonstrate quantitative proficiency through prior coursework or preparatory modules in statistics, calculus or programming. English language proficiency proof is required for applicants whose first language is not English. Standardised test requirements (such as GMAT or GRE) may be considered on a case-by-case basis or waived for applicants with substantial professional experience.

Career prospects

Graduates enter a wide range of roles that apply analytics to strategic and operational challenges. Common job titles include business analyst, data analyst, business intelligence developer, analytics consultant, operations analyst, marketing analyst and data scientist in entry-level or junior roles. With experience, graduates progress to positions such as analytics manager, director of analytics, product analytics lead or consultant specialising in advanced analytics and data strategy.

Employers of Mercy College analytics graduates span finance, healthcare, retail, technology, professional services and the public sector. The programme’s practical focus and capstone/internship options are designed to help students build a portfolio of applied projects and industry contacts to support their job search.

Why study at Mercy College

Mercy College offers a career-oriented Business Analytics programme with small class sizes and faculty who combine academic expertise with industry experience. The college’s location provides access to regional employers and internship opportunities, while the curriculum is structured to prioritise hands-on learning, contemporary tools and real-world projects.

Students benefit from dedicated career services, networking events and an emphasis on applied, team-based work that mirrors workplace practice. Flexible delivery options, including evening and course scheduling to suit working professionals, make the programme accessible to those balancing study with employment.