M.Ed. in Administration and Supervision
Marymount University, located in Arlington, Virginia, offers a Master of Education (M.E...
Master of Business Administration - Data Science
Virginia
INTAKE: Jan, May & Aug
Program Overview
The MBA with a Data Science specialization at Marymount is structured as a 36-credit MBA program with an optional three-course module in Data Analytics. This flexible structure allows students to deepen their understanding of how data is gathered, analyzed, and applied to inform effective management. It is designed to equip graduates with the essential insights needed to lead in an increasingly data-driven world, catering to individuals who understand that business success is inextricably linked to the intelligent use of data. This specialization allows MBA graduates to demonstrate marketable skills that can advance their careers or facilitate meaningful career transitions.
ACBSP Accredited: Marymount University's MBA program, including its Data Science specialization, holds accreditation from the Accreditation Council for Business Schools and Programs (ACBSP). This esteemed accreditation signifies that the program adheres to rigorous standards for business education quality. It assures students and employers alike that the curriculum is current, relevant, and effectively prepares graduates for the challenges and opportunities of the global business landscape, underscoring the program's commitment to excellence and continuous improvement.
Curriculum: The curriculum for the MBA with a Data Science specialization integrates core MBA courses with targeted data science modules. Core MBA courses typically cover essential business areas such as "Management Foundations," "Business Analytics," "Accounting for Managers," "Corporate Finance," "Marketing Concepts and Practice," and "Strategic Management Seminar." The Data Analytics specialization builds upon this foundation with key courses including "IT 540: Enterprise Data Management and Analysis," "IT 546: Principles of Data Science," and "HRM 586: People Analytics." This multidisciplinary approach ensures graduates possess both the managerial acumen and the technical proficiency to manage and derive value from complex datasets.
Research Focus: While the MBA program primarily focuses on applied knowledge for management, Marymount University's College of Business, Innovation, Leadership, and Technology (BILT) generally exhibits an applied research focus that directly informs the curriculum. Within the data science domain, this includes areas such as business intelligence, advanced analytics, and the ethical implications of data use. Faculty members, who often have practical industry experience, bring real-world case studies and insights into the classroom, particularly in how data can be leveraged for intelligent decision-making, managing change, and fostering innovation. The program emphasizes applied research skills, enabling students to critically examine data-driven solutions to complex business problems.
Industry Engagement: Marymount University strategically leverages its location in the Washington D.C. metropolitan area to foster robust industry engagement. The faculty within the MBA program often includes experienced professionals from various sectors, bringing current industry practices and valuable networking opportunities directly into the learning environment. The curriculum, particularly the Data Science specialization, is designed to meet the growing demand for professionals who can utilize data for business success. The university's strong connections with a diverse range of organizations, from government agencies to private corporations, facilitate internships, career placements, and opportunities for students to engage with real-world data challenges, ensuring graduates are well-prepared for the demands of the modern data-driven economy.
Global Perspective: The MBA with a Data Science specialization at Marymount University integrates a global perspective by addressing how data and analytics transcend geographical boundaries and influence international business operations. The MBA core curriculum often includes a "Global Business Experience," which provides students with insights into global strategies and diverse international business contexts. Within the data science specialization, this global outlook translates to understanding how data collection, privacy regulations, and analytical applications vary across different regions and cultures. Graduates are prepared to navigate the complexities of a globally interconnected business environment where data insights can drive competitive advantage and innovation on an international scale.
Location
Virginia
Score
IELTS 6.5
Tuition Fee
USD 24120
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% 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 96 or higher.
- PTE: Overall score of 58 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Marymount University in the United States is supporting international students through a variety of scholarship opportunities designed to recognize academic excellence, leadership, and community involvement. These scholarships help make a high-quality education more affordable and accessible for students from around the world.
Merit-Based Scholarships: Marymount offers several merit-based scholarships specifically for international students. These awards are typically based on academic performance, standardized test scores, and leadership potential. Some scholarships are automatically considered during the admissions process, while others require a separate application.
Global Scholarship: One of the key awards available to international students is the Global Scholarship, which provides significant tuition reduction for high-achieving students. This scholarship rewards students who demonstrate outstanding academic credentials and a global engagement.
Distinguished International Student Award: Marymount also offers the Distinguished International Student Award for exceptional students who contribute to campus diversity and show strong leadership qualities. This award helps to encourage a vibrant, multicultural student community.
Graduate Assistantships and Fellowships: Graduate students may have access to assistantships and fellowships that provide tuition remission and stipends in exchange for research or teaching support. These opportunities not only ease financial burdens but also enrich academic and professional development.
Marymount University's MBA with a Data Science specialization equips graduates with a powerful combination of business acumen and analytical prowess, making them exceptionally competitive in a job market increasingly driven by data. This program prepares individuals not just to understand data, but to strategically leverage it for informed decision-making and leadership across various sectors.
Chief Data Officer (CDO): This executive leadership role is responsible for an organization's overall data strategy, governance, and utilization. An MBA with data science expertise provides the strategic vision and technical understanding necessary to maximize the value of data assets.
Business Intelligence (BI) Manager: Oversees the development and implementation of BI solutions, translating raw data into meaningful reports and dashboards that guide business strategy. Graduates can lead teams in providing actionable insights to executives.
Data Science Manager / Lead Data Scientist: Leads and manages teams of data scientists and analysts, overseeing complex data projects from conception to deployment. This role requires strong leadership, project management, and advanced analytical skills.
Data Strategist / Data Strategy Consultant: Advises organizations on how to develop and implement comprehensive data strategies to achieve business objectives. This involves identifying data opportunities, establishing data governance, and designing frameworks for data utilization.
Marketing Analytics Manager: Specializes in analyzing marketing data to optimize campaigns, understand customer behavior, and measure ROI. Graduates can use data insights to inform marketing strategies and improve customer engagement.
Financial Analyst (with Data Focus): Applies data science techniques to financial data for risk assessment, investment analysis, fraud detection, and predictive modeling in the finance industry. This role requires a strong grasp of both finance and advanced analytics.
Operations Research Analyst: Uses mathematical modeling, statistical analysis, and optimization techniques to improve operational efficiency and decision-making. This can be applied across various industries, from logistics to manufacturing.
Product Manager (Data-Driven Products): Oversees the development of products where data and analytics are central to their functionality. This involves understanding user needs, technical feasibility, and market potential through a data-centric lens.
Healthcare Data Analyst / Informatics Manager: Applies data science principles to healthcare data for improving patient outcomes, operational efficiency, and disease management. This often involves working with electronic health records and clinical data.
Head of Analytics / Director of Analytics: A senior leadership position responsible for the entire analytics function within an organization, guiding data-driven decision-making across departments. This role requires a blend of technical expertise and strong strategic leadership.
