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Masters of Business Administration - Data Analytics
Glassboro
INTAKE: Jan & Aug
Program Overview
The Master of Business Administration (M.B.A.) program at Rowan University, housed within the William G. Rohrer College of Business, offers a highly flexible and customizable graduate education designed to equip aspiring and current professionals with the skills needed to navigate a dynamic business environment. The program emphasizes strategic decision-making, leadership, and collaboration, exploring the latest business trends and applying new management tools and techniques. With a focus on adaptability and business acumen, the Rowan M.B.A. prepares graduates for career growth across various industries and markets. It accommodates both full-time and part-time study with flexible delivery formats, including 100% online, in-person evening classes, or hybrid options. The Data Analytics concentration is specifically designed for individuals who want to develop strong problem-solving and decision-making skills through the use of data analysis, statistical models, and other quantitative methods.
AACSB Accredited: The Rowan University M.B.A. program, including its Data Analytics concentration, holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB) International. This prestigious accreditation is a hallmark of quality for business and accounting programs worldwide, placing Rowan's M.B.A. among the top 5% of business schools globally. AACSB accreditation ensures rigorous standards of excellence in teaching, research, curriculum, and learner success, providing students with a degree that is highly valued and recognized by top employers globally.
Curriculum: The M.B.A. program consists of 14 graduate classes (36 semester hours), with 8 required core courses (18 s.h.) and 6 elective courses (18 s.h.). The core curriculum covers essential business foundations, including Employee Engagement and Performance, Responsible Leadership, Marketing Management Fundamentals, Information Systems for Managers, Managerial Accounting, Financial Decision Making, Managing Organizational Strategy, and Operations Analytics. The Data Analytics concentration coursework (9 credits/3 courses) includes required courses such as Database Design and Database Warehousing & Business Intelligence. Students also select an elective from a range of courses that may include Data Mining, Data Quality/Web Text Mining, and Visual Analytics. The curriculum aims to provide expertise in gathering, preparing, and cleaning data, developing methods of analysis and interpretation, and presenting data to business leaders clearly and concisely.
Research Focus: The M.B.A. with a Data Analytics concentration emphasizes a research-informed approach to business problem-solving. Students learn to use data analysis, statistical models, and other quantitative methods to drive decision-making. Courses delve into data mining, statistical analysis, data engineering, data warehousing, business intelligence, and strategy. Students are often required to present recent conference or journal papers and apply visual analytics techniques to focused research problems in real-world applications, fostering their ability to derive actionable insights from complex datasets. This strong focus on analytical rigor and data interpretation underpins the program's research orientation.
Industry Engagement: Rowan University's Rohrer College of Business maintains strong ties with various industries, and the Data Analytics concentration directly addresses a high-demand skill set in the market. The curriculum is developed to align with industry needs, focusing on practical application of data tools and computational methods to improve organizational efficiency and solve business problems. The program emphasizes hands-on experience with tools leveraged in database implementation, and courses may involve applying visual analytics techniques to real-world problems. The AACSB accreditation and Rowan's robust alumni network also provide opportunities for networking and career acceleration within the industry.
Global Perspective: The M.B.A. program, including its Data Analytics concentration, inherently embraces a global perspective by preparing students for a business environment that is increasingly global and data-driven. The skills in data collection, analysis, and interpretation are universally applicable across international markets and diverse industries. The program also supports a diverse student body, which enriches the learning environment by exposing students to various international business practices and cultural perspectives in problem-solving and data interpretation. The fundamental principles of data analytics, as taught in the program, are relevant to global business operations and challenges.
Location
Glassboro
Score
IELTS 6.5
Tuition Fee
USD 20300
Postgraduate Entry Requirements
Application Fee: $65
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 65% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 70 or higher.
- PTE: Overall score of 50 or higher.
- DET (Duolingo English Test): Minimum score of 110.
Rowan University offers a variety of scholarships and financial aid opportunities specifically aimed at supporting international students in their academic pursuits. Understanding that studying abroad can be a significant financial investment, Rowan provides merit-based scholarships, awards, and grants to help ease the financial burden and reward academic excellence and leadership potential.
Merit-Based Scholarships: International students at Rowan University may be eligible for merit scholarships based on their academic achievements, standardized test scores, and other criteria. These scholarships can range from partial to substantial tuition awards and are typically renewable for multiple years, provided students maintain satisfactory academic progress.
Global Academic Excellence Scholarship: One of the key awards available to incoming international undergraduate students is the Global Academic Excellence Scholarship, which recognizes outstanding academic records and exceptional leadership qualities. This scholarship helps reduce tuition costs and encourages high-performing students to join Rowan’s diverse community.
Departmental Scholarships and Awards: Many of Rowan’s individual colleges and departments offer specialized scholarships for international students pursuing degrees in specific fields such as business, engineering, communication, or health sciences. These awards are often competitive and based on academic merit, portfolio submissions, or departmental recommendations.
Graduate Assistantships and Fellowships: For international graduate students, Rowan provides assistantships and fellowships that offer tuition remission along with a stipend in exchange for teaching or research support. These positions not only help finance graduate education but also provide valuable professional experience and academic networking opportunities.
Graduates of the Rowan University M.B.A. program with a Data Analytics concentration are equipped with a powerful combination of business acumen and highly sought-after analytical skills. This blend makes them invaluable in today's data-driven world, enabling them to translate complex data into actionable business strategies across various industries.
Data Analyst: Collecting, cleaning, and interpreting large datasets to identify trends, patterns, and insights that support business decisions. They often create reports and dashboards to visualize data.
Data Scientist: Developing and implementing statistical models, machine learning algorithms, and other advanced analytical techniques to solve complex business problems, make predictions, and drive innovation.
Business Intelligence (BI) Analyst/Developer: Designing, developing, and maintaining BI solutions, including dashboards, reports, and data warehouses, to provide business users with easy access to critical information for decision-making.
Data Engineer: Building and maintaining the infrastructure and systems that enable data collection, storage, processing, and analysis, ensuring data quality and accessibility for analysts and scientists.
Data Analytics Consultant: Advising businesses across different sectors on how to leverage their data more effectively to improve operations, increase revenue, optimize strategies, and solve specific business challenges.
Marketing Analyst: Focusing on consumer behavior, market trends, and campaign performance by analyzing marketing data to optimize strategies and maximize return on investment.
Operations Analyst: Using data to improve efficiency and effectiveness of business operations, supply chains, and logistics, often involving process optimization and forecasting.
Financial Analyst (with Data Analytics focus): Applying data analytics techniques to financial data for forecasting, risk assessment, investment analysis, and strategic financial planning within corporations or financial institutions.
Product Manager (with Data Analytics focus): Guiding the development of products or features by analyzing user data, market trends, and performance metrics to inform product strategy and roadmap.
Manager of Analytics/Director of Business Intelligence: Leading teams of data analysts and BI professionals, overseeing data strategy, and tr
