NEW JERSEY CITY UNIVERSITY · UNITED STATES
Business Analytics and Data Science, B.S.
Bachelor's · Taught in en
At a glance
48 mo
Duration
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IELTS
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Tuition / yr
en
Language
Bachelor's
Level
- 75Total Credit Hours
- Prepare for CAP certificationProfessional Certification
- Focus on practical, real-world applicationLearning Approach
- Learn industry-standard softwareTools & Technology
- Gain skills for finance, marketing, retail, and accountingIndustry Relevance
The Bachelor of Science in Business Analytics and Data Science program at New Jersey City University equips students with the essential skills to manage, analyze, and interpret large datasets, enabling informed business decisions. This program is designed to meet the growing demand for professionals in data analytics and data science across various sectors like finance, marketing, retail, and accounting. It reflects NJCU's commitment to serving a diverse student body and adapting to contemporary challenges. The curriculum emphasizes practical application, using industry-standard software and real-world scenarios to solve common business data analysis problems. Students will also learn about the ethical considerations involved in handling potentially private data. Graduates will be well-prepared for roles as data scientists and may also be positioned to pursue the Certified Analytics Professional (CAP) certification.
Curriculum
The program requires a total of 75 credit hours, including common core requirements, specialization courses, and electives. The curriculum is structured to provide a comprehensive understanding of business principles and specialized data science techniques.
- Freshman - Semester 2
- Pre-Calculus for Business Students or Analytics For Business and EconomicsMATH 164 or ECON 221
- Principles of ManagementMGMT 211
- Sophomore - Semester 1
- Global BusinessMGMT 241
- Principles of Economics: MacroECON 207
- Business Enterprise ApplicationsMGMT 225
- Financial AccountingACCT 251
- Sophomore - Semester 2
- Principles of Economics: MicroECON 208
- Business StatisticsECON 203
- Management AccountingACCT 252
- Junior - Semester 1
- Operations and Project Management FundamentalsMGMT 251
- Business Law I: Legal Environment of BusinessMGMT 235
- Introduction to Data ScienceFINC 305
- Programming Basics for Business Analytics and Data ScienceFINC 405
- Junior - Semester 2
- Principles of MarketingMKTG 231
- Managerial FinanceFINC 371
- Statistical and Mathematical Foundations for Business Analytics and Data ScienceFINC 306
- Principles of Machine LearningFINC 430
- Major Elective or Minor Requirement
- Senior - Semester 1
- Introduction to Forecasting Models and Experimental Design for Business Analytics and Data ScienceFINC 410
- Fundamentals of Data Visualization for Business Analytics and Data SciencesFINC 403
- Basics of Data Collection, Data Warehousing, and Data CleansingFINC 415
- Major Elective or Minor Requirement
- Major Elective or Minor Requirement
- Senior - Semester 2
- Capstone in Data ScienceFINC 495
- Business PolicyMGMT 411
- Major Elective or Minor Requirement
- Major Elective or Minor Requirement
- Major Elective or Minor Requirement
Careers
Graduates of the Business Analytics and Data Science program are prepared for various roles in industries that leverage data for decision-making. The skills acquired are highly transferable and in demand across multiple sectors.
- Data Scientist
- Business Analyst
- Data Analyst
- Analytics Professional
Entry requirements
School of Business CoursesStudents must earn a grade of C or higher in each School of Business course (ACCT, BUSI, ECON, FINC, MGMT, MKTG) used for graduation.
No specific English language proficiency scores are listed for international students. Prospective students should verify requirements with the admissions office.
Fees
Tuition (international)Tuition fees for international students are not specified in the provided text. Please contact the university directly for current international tuition rates.
Tuition (home)Tuition fees for domestic students are not specified in the provided text. Please contact the university directly for current domestic tuition rates.
LivingEstimated living costs are not provided in the source material. International students should research typical living expenses in Jersey City, New Jersey.
The provided text focuses on the academic curriculum and does not detail tuition or living costs. International students should consult the NJCU Admissions and Aid section or contact the university for financial information.
How to apply
1. Review Admissions RequirementsVisit the NJCU Admissions website to understand the general requirements for undergraduate applicants, including any specific prerequisites or academic standards.
2. Complete the Application FormSubmit an online application for admission to New Jersey City University. Ensure you select the Business Analytics and Data Science, B.S. program.
3. Submit Academic TranscriptsProvide official transcripts from all previously attended secondary and post-secondary institutions. International transcripts may require evaluation by a credential evaluation service.
4. Provide English Language Proficiency ProofInternational applicants typically need to demonstrate English proficiency. While specific scores for this program are not listed, common tests like TOEFL or IELTS are usually accepted. Verify the required scores and accepted tests with the admissions office.
5. Submit Supporting DocumentsThis may include standardized test scores (if required), letters of recommendation, and a personal essay, depending on the university's requirements for international applicants.
6. Financial DocumentationInternational students usually need to provide proof of financial support to cover tuition, fees, and living expenses.
7. Application FeePay the required application fee.
8. Await Admission DecisionOnce all documents are submitted, the admissions committee will review your application. You will be notified of the decision.
Accreditation
The program is offered by the School of Business at New Jersey City University. Specific accreditation details for the program or school were not provided in the source text.