An AI-Forward Graduate Program | Online or Hybrid

Advance your career with Portland State University’s STEM-designated MS in Applied Data Science for Business (MSADSB)—designed for professionals who want to lead at the intersection of data, AI, and business strategy.

Why Applied Data Science for Business?

Data and AI are transforming every industry, and demand for professionals who can turn insights into action continues to grow. Employers are seeking leaders who can bridge technical expertise with strategic decision-making—and that talent gap is widening.

What You’ll Learn

This AI-forward program prepares you to guide organizations through digital transformation with confidence and integrity. You’ll gain hands-on, market-relevant skills in:

  • Machine learning, deep learning, and AI tools
  • Cloud services and analytics platforms
  • Business strategy and data visualization
  • Security, ethics, and responsible AI use

Beyond technical skills, you’ll develop the critical thinking and creativity needed to create sustainable value for organizations and stakeholders.

Designed for Strategic Thinkers

The MSADSB curriculum applies across business functions, including: Marketing • Analytics • Finance • HR • Management.

Customize your degree with one of three specializations:

  • Business Intelligence & Analytics
  • Enterprise Analytics
  • Health & Clinical Informatics (in collaboration with OHSU)

Flexible. Relevant. Career-Focused.

Choose fully online or hybrid learning to fit your schedule while preparing for high-demand careers in analytics and AI-driven business roles.

Lead the future of business with data.

Sam Rider

Sam Grider '22, Senior Data & Reporting Analyst, Intel Finance

Effective leaders go beyond the technical, placing value on human-centered ideas. The curriculum includes content on integrating different perspectives, securing stakeholder buy-in, understanding technology trends, leveraging data storytelling, and building change management processes. 

Full Time: 12 Months | Part Time: 24 Months | 45 Credits | Fall Start | Online

ELEVATE YOUR LEADERSHIP

Our program is meticulously crafted to empower you as a leader in digital transformation, seamlessly blending business acumen with data science skills. Engage in experiential learning and interactive coursework alongside industry partners, honing your management and strategy expertise. You'll be well-equipped to harness new and emerging technologies to address contemporary challenges. Surrounded by a diverse cohort of cross-industry professionals, you'll advocate for ethical digital transformation and applied data science, contributing to a more equitable and sustainable future.

DRIVEN BY YOUR SUCCESS

The demand for leaders in digital transformation is on the rise across various sectors, including manufacturing, technology, insurance, banking, and financial services. The U.S. Bureau of Labor Statistics anticipates an 11% increase in national occupational growth for this skill set over the next decade. Future-proof your career by gaining exposure to crucial tools and skills such as R, Python, and Tableau, and immerse yourself in hands-on coursework covering novel business models, organizational change, statistical analysis, data mining, visualization, and more. Choose from certificate specializations in business intelligence and analytics, health and clinical informatics, HR analytics, or enterprise analytics, and graduate with two impactful credentials.

INDUSTRY COLLABORATION

Informed by leaders from ESCO Group, The Standard, Autodesk, Daimler, Pacific Source, Amazon AWS, Nike, and others, our cutting-edge curriculum reflects real-world insights. Interface with regional domain experts, tackle authentic problems through case studies and guest speakers, and benefit from the expertise of our faculty, who bring deep industry experience and research into the classroom. Your connections won't be confined to your LinkedIn page; you'll become part of a coalition of leaders dedicated to turning the digital transformation of tomorrow into a reality today.

 

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