CUNY(The City University of New York)

What you'll study

The programme blends a solid foundation in business disciplines with rigorous training in quantitative methods, analytics and computation. Early years focus on core business principles — accounting, microeconomics, macroeconomics and organisational behaviour — alongside mathematics and statistics to build analytical skills.

• Core quantitative modules: calculus, linear algebra, probability and mathematical statistics.
• Management science and operations: optimisation and linear programming, operations research, queuing theory, inventory and production planning, supply chain analytics.
• Data and computing: statistical modelling, regression and time series, simulation, database fundamentals, data visualisation, and programming for data analysis (commonly Python or R).
• Business applications: managerial economics, corporate finance or financial analysis, marketing analytics, project management, decision analysis and risk management.
• Capstone and applied work: a senior project, practicum or internship in which students apply quantitative methods to a real organisational problem; elective courses allow specialisation in areas such as supply chain analytics, business intelligence or financial engineering.

Courses emphasise practical problem solving, using case studies, software tools and datasets drawn from industry in New York City and beyond. Students typically progress from foundational coursework in the first two years to specialised, project-based classes in the final years.

Entry requirements

Applicants are expected to have completed secondary education with a strong background in mathematics. Typical requirements include:

• A high school diploma or equivalent from an accredited institution.
• Good grades in mathematics (calculus or pre-calculus recommended) and strong overall academic performance.
• Standardised test requirements vary by CUNY campus and may be optional; check the specific college’s admissions page for details.
• Some programmes may request a personal statement, resume, or letters of recommendation, particularly for competitive places or honours tracks.
• Students transferring from community colleges should have completed introductory quantitative and business courses; transfer credit evaluation is done on a case-by-case basis.

Proficiency in English is required; international applicants must meet the university’s language requirements. Placement testing or preparatory courses may be recommended for students needing to strengthen mathematics or statistics skills.

Career prospects

Graduates are well positioned for quantitatively oriented roles across many sectors. Common entry-level and mid-level career paths include:

• Operations analyst, supply chain analyst or logistics planner
• Data analyst, business intelligence analyst or analytics consultant
• Financial analyst or risk analyst in banking, insurance or corporate finance
• Management consultant specialising in process improvement or analytics-driven strategy
• Roles in technology companies involving product analytics, A/B testing and data-driven decision-making

Many graduates also pursue postgraduate study such as a master’s in analytics, operations research, business administration (MBA) or related fields. The programme’s emphasis on applied projects and internships helps build a professional portfolio sought by employers.

Why study at CUNY(The City University of New York)

Studying this programme within the CUNY system — particularly at Baruch College — gives students access to a public, urban university with strong links to New York City’s financial, technology and corporate sectors. CUNY campuses offer diverse student bodies, practical internship opportunities across a wide range of organisations and career services focused on connecting students with employers.

• Industry proximity: internships, projects and networking opportunities with firms based in New York City.
• Applied focus: curriculum designed to develop practical analytical and computational skills used by employers.
• Support services: academic advising, career counselling and practicum placement assistance to help students transition into the workforce or graduate study.
• Value and accessibility: a public university environment that emphasises affordability and access while providing rigorous training in quantitative management.

Together, these strengths make CUNY a strong choice for students seeking a career at the interface of management and quantitative analysis.