Masters of Business Administration - Advanced Business Strategy Using A.I. and Analytics
MSOE's MBA in Advanced Business Strategy Using A.I. and Analytics is designed for p...
Masters of Business Administration - Advanced Business Strategy Using A.I. and Analytics
Milwaukee, Wisconsin
INTAKE: March, Sept & Dec
Program Overview
MSOE's MBA in Advanced Business Strategy Using A.I. and Analytics is designed for professionals seeking to advance their careers by integrating strategic business functions with the powerful capabilities of AI and analytics. The program is available in both online asynchronous and blended formats (combining online with on-campus components), offering flexibility. It emphasizes applying what students learn to their current professional work, focusing on solving real-world problems within their companies or industries. The curriculum is structured around strategic MBA content, analysis of leading-edge business cases, and direct application of learned concepts, preparing graduates as effective practitioners ready to achieve their professional goals.
STEM-Designated: While MSOE is an engineering school, specific confirmation of the STEM designation for this particular MBA specialization is implied by the strong emphasis on analytics and AI, which are typically STEM fields. MSOE has initiatives like the "rAIder Initiative" to integrate AI and machine learning into all its programs, including business disciplines, further supporting the STEM nature of this MBA. STEM designation offers significant benefits for international students, potentially allowing them to apply for an extended Optional Practical Training (OPT) period in the U.S. post-graduation, enhancing their career opportunities.
Curriculum: The curriculum for the MBA in Advanced Business Strategy Using A.I. and Analytics combines core MBA subjects with specialized courses in AI and analytics. Core MBA courses typically include Statistics and Data Analytics, Innovation and Entrepreneurship, Finance and Accounting, Supply Chain Management, Human Resources Management, and Strategic Management. The specialization delves into courses like Data Wrangling and Exploration, Predictive Analytics, and Analytics Leadership and Strategy. The program emphasizes the use of statistical programming languages such as R and Python, exposing students to contemporary analytical processing environments and utilizing machine learning and deep learning fundamentals for prediction in the era of Big Data.
Research Focus: The MSOE MBA, including the AI and Analytics specialization, has a strong applied and practical research focus. It's built on an "applications-oriented" approach where students apply their learning to real-world challenges. The curriculum encourages students to identify appropriate data sources, evaluate data quality, wrangle data for specific analytical techniques, and explore patterns. Students learn to interpret and communicate analytical results effectively. While not a traditional academic research program, the emphasis is on developing a framework for analytics-enabled decision-making and using AI and analytics to address complex business problems, which inherently involves investigative and analytical skills akin to applied research.
Industry Engagement: MSOE has a strong tradition of industry engagement, preparing students to be "ready now" for their careers. This is reflected in the MBA program's design, which emphasizes applying learning to real problems in students' organizations and industries. Faculty are often industry-experienced experts who bring real-world scenarios into the classroom. MSOE also has partnerships with business and industry leaders, potentially offering students opportunities to learn alongside professional mentors. The program's focus on in-demand skills like predictive analytics, data visualization, and AI application directly aligns with current industry needs, preparing graduates for high-value roles.
Global Perspective: MSOE fosters a global perspective by attracting a diverse student body and emphasizing the application of business and technology in a global context. While specific global components for this MBA specialization are not explicitly detailed, the concepts of advanced business strategy, AI, and analytics are universally applicable in today's interconnected global economy. MSOE's general philosophy includes staying at the forefront of technology and preparing students for career practice, which extends to global markets. The potential for extended OPT for international students further supports a global career trajectory post-graduation.
Location
Milwaukee, Wisconsin
Score
IELTS 7
Tuition Fee
USD 35328
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 90 or higher.
- PTE: Overall score of 60 or higher.
- DET (Duolingo English Test): Minimum score of 130.
Milwaukee School of Engineering (MSOE) offers a variety of scholarship opportunities specifically designed for international students to support their academic journey and make education more affordable. These scholarships are primarily merit-based and aim to recognize outstanding academic achievements, leadership qualities, and contributions to the community.
Merit-Based Scholarships: International students applying to MSOE are automatically considered for merit scholarships based on their academic records, standardized test scores, and overall application strength.
Global Scholar Award: This prestigious award is granted to international students who demonstrate exceptional academic excellence, leadership skills, and community involvement. The Global Scholar Award helps reduce tuition fees significantly and supports high-achieving students throughout their studies.
External Scholarships and Funding: MSOE encourages international students to explore additional funding opportunities through external scholarships such as the Fulbright Program, EducationUSA Scholarships, and various private foundations or government-sponsored awards from their home countries.
The Milwaukee School of Engineering (MSOE)'s MBA in Advanced Business Strategy Using A.I. and Analytics prepares graduates for a pivotal role in today's data-driven economy. This program empowers business leaders to harness the transformative power of artificial intelligence and advanced analytics to make strategic decisions, optimize operations, and drive innovation across various sectors.
AI Strategy Consultant: These professionals advise organizations on how to effectively integrate AI and analytics into their core business strategies. They identify opportunities for AI implementation, assess potential risks, and develop roadmaps for digital transformation, ensuring AI initiatives align with overall business objectives.
Chief Analytics Officer (CAO) / Director of Analytics: At a senior leadership level, a CAO or Director of Analytics is responsible for an organization's entire data and analytics strategy. They oversee data collection, analysis, interpretation, and the deployment of AI-driven insights to inform decision-making across all departments.
Data-Driven Product Manager: This role is crucial in companies developing AI-powered products or services. Graduates leverage their understanding of both business strategy and AI/analytics capabilities to define product vision, manage the product lifecycle, and ensure that AI features meet market needs and drive business value.
Business Intelligence (BI) Manager / Director: BI Managers lead teams that convert raw data into actionable insights through reports, dashboards, and visualizations. With an MBA in AI and Analytics, they can oversee the strategic development of BI platforms, incorporating predictive and prescriptive analytics to enhance decision-making.
Advanced Analytics Manager: Focusing on complex analytical projects, these managers lead teams in applying sophisticated statistical models, machine learning, and deep learning techniques to solve challenging business problems. They are responsible for extracting predictive insights and translating them into tangible business outcomes.
Operations Research Analyst (with AI/Analytics Focus): These analysts use advanced analytical methods, including AI and optimization algorithms, to improve efficiency, reduce costs, and optimize complex processes in areas like supply chain, logistics, and resource allocation.
Financial Analyst (with AI/Quant Focus): In the financial sector, graduates can apply AI and analytics to analyze market trends, assess investment risks, develop trading strategies, and create predictive models for financial performance, moving beyond traditional financial analysis.
Digital Transformation Lead: As companies undergo widespread digital transformation, these leaders guide the integration of AI and analytics into existing business models and processes. They identify opportunities for automation and data-driven improvements across various functions.
AI Implementation Leader: This role focuses on the practical deployment of AI solutions within an organization. Graduates oversee the technical execution of AI projects, ensuring seamless integration with existing systems and driving organizational adoption of new AI-powered tools and workflows.
Marketing Analytics Manager (AI-powered): Specializing in marketing, these managers use AI and advanced analytics to analyze customer behavior, optimize marketing campaigns, personalize customer experiences, and forecast market trends, driving higher ROI for marketing efforts.
