The Bachelor of Business Administration in Data Analytics at Mercy College combines core business training with practical data science and analytics skills. It suits students who want to apply data-driven decision-making in business contexts, preparing them for roles that bridge analytics, technology and management.
What you'll study
The programme blends a foundation in business administration with specialised coursework in data analytics. You will study accounting, finance, marketing and management alongside quantitative and technical subjects that include statistics, database systems, programming for data analysis, data visualisation and predictive analytics.
- Core business courses: Principles of Management, Financial and Managerial Accounting, Business Law, Marketing Principles and Corporate Finance fundamentals.
- Quantitative and analytics foundations: Applied Statistics, Probability for Business, Operations Research and Econometrics.
- Technical skills and tools: Introduction to Programming for Data Analysis (typically Python or R), Database Design and SQL, Data Warehousing and Business Intelligence platforms.
- Analytics techniques: Data Mining and Predictive Modeling, Machine Learning for Business Applications, Text and Sentiment Analysis, Time-series Analysis.
- Practical and integrative experiences: Data Visualisation and Dashboarding, Capstone Project in Data Analytics, and opportunities for an industry internship or practicum with a local business or non-profit.
- Electives and interdisciplinary options: Courses in information systems, supply chain analytics, healthcare analytics, or marketing analytics allow you to tailor the degree to sector interests.
Entry requirements
Admission to the bachelor programme typically requires a completed secondary school qualification (high school diploma or equivalent). Applicants should demonstrate readiness for college-level study and have a background in mathematics; coursework in algebra or pre-calculus is recommended. Mercy College accepts both first‑time and transfer applicants.
- Academic records: Official high school transcripts or college transcripts for transfer students. Admissions review considers course rigour and overall academic performance.
- Standardised tests and alternatives: Where standardised test scores are submitted they may be considered, but Mercy College operates with flexible policies and evaluates applications holistically. Check the admissions office for the current approach to SAT/ACT.
- English language proficiency: International applicants must demonstrate English proficiency through recognised tests or approved alternatives, unless exempt by prior study in English.
- Additional materials: Personal statement, résumé and letters of recommendation may strengthen an application. Transfer applicants should provide college transcripts and descriptions of prior coursework.
Career prospects
Graduates of the BBA in Data Analytics enter roles that combine business knowledge with data skills. Common job titles include Data Analyst, Business Analyst, Business Intelligence Analyst, Analytics Consultant, Operations Analyst and Reporting Analyst. Graduates work across sectors such as finance, healthcare, retail, insurance, government and technology.
The programme also provides a pathway to graduate study in analytics, business analytics, information systems or related fields, and supports careers that progress into data science, analytics leadership and management roles.
Why study at Mercy College
Mercy College offers an applied, career-focused education with small class sizes and faculty who bring industry experience into the classroom. The college’s location provides access to internships and employers across its metropolitan region, helping students gain practical experience and professional networks.
- Hands-on learning: Lab work, projects using real datasets and a capstone project ensure practical skills in contemporary analytics tools and workflows.
- Career support: Dedicated career services, internship placement assistance and employer connections help students transition to the workforce.
- Flexible options: Electives and concentrations let students specialise in sectors such as healthcare, finance or supply chain analytics.
- Community and support: Academic advising, tutoring and experiential learning opportunities support student success throughout the programme.
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