Enterprise Intelligence

Degree:
  • Master's
Location: Boston

Why Enterprise Intelligence?

The MPS in Enterprise Intelligence program prepares you to excel in the fast-growing and dynamic fields of machine learning and artificial intelligence, while focusing on data, technology, and human literacy.

Students in this program take a multi-disciplinary approach to learning, which creates well-rounded innovators primed to utilize data and AI to inform domain-specific business decisions. By combining the disciplines of applied machine learning and artificial intelligence, data management, data analysis, and data visualization, a master’s in Enterprise Intelligence will teach students to solve business problems within the quickly growing field of artificial intelligence. 

With diverse concentrations including Healthcare, Finance, Human Resources, and Business Ventures, the MPS in Enterprise Intelligence program will empower students to apply AI models and algorithms to a chosen industry. With a modular curriculum students can easily customize their learning activities and experiences across multiple contexts both online and on-ground. MPS Enterprise Intelligence can be completed in under 2 years.

More Details

Three Literacies

  • Technological literacy: evaluating and integrating tools, techniques and conceptual skills necessary for managing complex systems.
  • Data literacy: illustrating the significance of digital and global transformation leading to the creation of business strategies, to make data informed decisions, and to drive innovation as well as create competitive advantage.
  • Human literacy: lifelong learning, communication, and design, and leading innovation needed for guiding AI systems, including assessing and developing an ethical position, critical thinking and cultural agility.

Unique Features

  • Graduate with a portfolio of work samples that demonstrate your range and depth of competencies and skills with machine learning and artificial intelligence. 
  • Work closely with faculty from different fields and areas of expertise.
  • Our experiential AI curricula includes an introductory core, as well as an advanced core with an end-to-end AI education, with the goal to proactively and thoughtfully prepare students for the evolving technology and the challenges it presents.


What you'll study

General Requirements

Master of Professional Studies in Enterprise Intelligence Core Requirements

EAI 6000 - Fundamentals of Artificial Intelligence
3.00
EAI 6010 - Applications of Artificial Intelligence
3.00
ALY 6110 - Data Management and Big Data
3.00
EAI 6030 - Usability and Human Interaction
3.00
EAI 6020 - AI System Technologies
3.00
 

Experiential Network and Capstone

INT 6940 - Experiential Learning Projects for Professionals
1.00 - 4.00
EAI 6980 - Integrated Experiential Capstone
3.00
 

Elective Courses

Complete three of the following, or any concentration courses outside of your declared concentration:

CED 6050 - Commerce and Economic Development
3.00
CMN 6000 - Introduction to Organizational Communication
2.00
GIS 5201 - Advanced Spatial Analysis
3.00
GIS 6360 - Spatial Databases
3.00
LDR 6135 - Ethical Leadership
3.00
PJM 6005 - Project Scope Management
3.00
PJM 6015 - Project Risk Management
3.00
PJM 6205 - Leading and Managing Technical Projects
3.00
EDU 6184 - Interdisciplinary Foundations
2.00
 

Concentrations

AI for Business Ventures

EDU 6558 - Issues in Education
1.00 - 4.00
ALY 6040 - Data Mining Applications
3.00
ITC 6015 - Enterprise Information Architecture
3.00
EAI 6080 - Advanced Analytical Utilization
3.00
EAI 6120 - AI Communication and Visualization
3.00
 
AI for Finance
FIN 6101 - Accounting Fundamentals for Financial Institutions
3.00
ALY 6040 - Data Mining Applications
3.00
EAI 6050 - Finance Information Processing
3.00
EAI 6080 - Advanced Analytical Utilization
3.00
EAI 6120 - AI Communication and Visualization
3.00
AI for Healthcare/Pharmaceuticals
ALY 6150 - Healthcare/Pharmaceutical Data and Applications
3.00
ALY 6040 - Data Mining Applications
3.00
EAI 6060 - Healthcare Information Processing
3.00
EAI 6080 - Advanced Analytical Utilization
3.00
EAI 6120 - AI Communication and Visualization
3.00
AI for Human Resources

HRM 6025 - Workforce Analytics
3.00
ALY 6040 - Data Mining Applications
3.00
EAI 6070 - Human Resources Information Processing
3.00
EAI 6080 - Advanced Analytical Utilization
3.00
EAI 6120 - AI Communication and Visualization
3.00
 

Did You Know?

Start your AI career in markets which value your new skillset. Seattle, San Francisco, San Jose, and Boston are ranked among the top markets for machine learning and AI jobs.

Did You Know?

Over the last year, there were over 60,000 job postings for professionals with AI and machine learning experience, up 234% since November 2013-October 2014, according to Burning Glass’ Labor Insight database.

Average Time to Completion

2 years

Commitment

Full-Time
Part-Time

Entry Terms

Fall
Spring
Summer
Winter

Meets F-1 Visa Requirements

Yes