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PART-TIME | FULL-TIME | STEM

Masters in Digital Innovation

In today’s technology-driven environment, business leaders need to complement their management skills with technical acumen to create value.

Alumni Anna Pravda

"Everything I'm learning is relevant to my job."

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A Curriculum for a New Kind of IT Professional

The MSDI delivers the skills that encompass the entire scope of business and technology, from analytics and artificial intelligence to cybersecurity.

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Assistant Professor Xinru Page

Teaching the Ethics of Social Media in Bentley University’s Graduate Program

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Rankings & Recognition

The Bentley MSDI was ranked #28 in the 2018 Eduniversal Best Masters Ranking for Information Systems Management.

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Alumni Mae Keefe

At Bentley, she found that the “staff and faculty seem to make it their mission to provide opportunities and pave the way for student success.”

Highlights
  • Designed to hone your expertise in such areas as digital strategy, artificial intelligence, application development and data architecture, transforming your career and providing immediate value to your organization.
  • Provides a wide range of industry-tested skills and knowledge in analytics and business intelligence, data management, project management and communication.
  • Learn advanced technologies (AI, cloud computing, cybersecurity, and Agile methods) and programming languages (Python, Java, SQL/No-SQL), and gain hands-on experience with integrating those technologies into organizational systems to enable innovative business practices.
  • Hone your skills in solving real business problems.

The Bentley MSDI prepares you for a wide range of careers, no matter the industry you are interested in. See below for a partial list of employers and job titles our alumni have achieved over the past year.

Company Name Alumni Title
Barton Associates Business Analyst
Deloitte Business Technology Analyst
Epsilon Senior Business Systems Analyst
Ericsson Software Engineer
EY Advisory Consultant Program Staff
Fidelity Investments IT Audit Analyst
HCL Technologies Limited General Manager
Juniper Networks Software Engineer
MITRE Corporation SharePoint Service Manager & Web Development Team Lead
RSM Senior Associate

The CIS Sandbox, Bentley’s technology social learning space, offers informal learning and networking opportunities for MSDI students. Here, you’ll learn to use cutting-edge tools and technologies across analytics and IT platforms and applications, including Python, Java, cloud-based software, mobile application development, artificial intelligence applications, SQL and source control.

$109K

Average Starting Salary for IT professionals

(USA Today)

29

Average age of students in this program

7.3

Million Tech-Related Jobs in the U.S.

(USA Today)

38%

Industry Growth Rate

The Bentley Graduate Online Learning Experience

Online education has revolutionized learning in higher education. At Bentley we offer online education in two ways. Watch our video to learn more about those formats and how you will engage with professors and other students no matter where you are located.

Top Employers Hiring Our Graduates

Paul Brassil
You need to be educated in technology to be effective in whatever field you pursue.
Paul Brassil
Vice President, Information Technology at the Federal Reserve Bank of Boston
Curriculum

Foundation Course

All applicants will be evaluated for foundation waivers.

GR521 | Managerial Statistics

This course covers basic statistical techniques in a managerial setting, and features case studies and conceptual exercises. Statistical topics include effective use of numerical and graphical summaries, estimation and confidence intervals, hypothesis testing and regression. More advanced topics such as data mining, the Bayesian paradigm and principles of model building, may be encountered during projects.

Core Courses

CS602 | Data-Driven Development with Python

Python is an easy-to-learn, widely versatile programming language whose extensive collection of external libraries makes it a popular choice for business analytics and visualization, data science, artificial intelligence, scientific and numeric computing, and many other applications. Its compatibility with leading analytics tools (e.g., SAS) that are widely used in enterprises also places it in high demand. Students in this course will first learn the fundamentals of programming that are common to all programming languages. They will then work with libraries such as the Python Data Analysis Library (pandas), NumPy, Matplotlib, and the Natural Language Toolkit (NLTK) to create a variety of programs in a diverse range of application domains. No prior programming experience is required.

CS605 | Data Management and SQL for Analytics

This course teaches foundational data management,retrieval, and manipulation skills with an emphasis on enabling the students to form a strong foundation for analytical processes. It builds a foundation for understanding various domains of practice with conceptual data modeling and demonstrates how the same conceptual needs can be served with different data management technologies. The course covers relational technologies for both operational databases and data warehouses and non-relational data management infrastructures for analytics. The course will help the students develop strong skills in the use of the SQL language for database definition and data manipulation.

CS607 | Cybersecurity

This course provides a technical focus on information, computer and network security, which together form the basis for securing enterprise systems and services. It introduces what cybersecurity means, both in the abstract and in the context of business information systems. Students learn relevant cybersecurity issues, technologies and approaches found in the contemporary enterprise. Students recognize and understand threats to privacy, confidentiality, integrity and service availability as well as best practices to defend both digital and physical assets against such threats.

CS610 | Enterprise Architecture

This course explores the design, selection, implementation and management of enterprise IT solutions. The focus is on applications and infrastructure and their fit with the business. Students learn frameworks and strategies for infrastructure management, system administration, content management, distributed computing, middleware, legacy system integration, system consolidation, software selection, total cost of ownership calculation, IT investment analysis, and emerging technologies. These topics are addressed both within and beyond the organization, with attention paid to managing risk and security within audit and compliance standards. Students also read current vendor and analyst publications and hone their ability to communicate technology architecture strategies concisely to a general business audience.

CS620 | Software Project Management

This course provides the technical knowledge and skills for successfully managing and executing globally distributed software projects in agile and hybrid environments. Topics covered include proposal and contract management, requirements management, modeling, user experience, project planning, effort estimation, staffing, automation, status, and quality assurance. Students will learn the methods and tools that support these processes, develop a toolkit for creating a project plan for a distributed application, and engage in a project to improve these capabilities. 

IPM652 | Managing with Analytics

The course will provide a business-focused perspective on analytics in organizations, with emphasis on business fundamentals for analytics professionals (including how businesses are structured, functional areas, core business processes and associated performance metrics, and types of business decisions), the value of analytics in organizations (including organizational-level perspectives on value, managing with analytics, and constraints and consequences of analytics processes such as information security, privacy and ethics), and the practice of analytics (understanding and framing ill-defined business problems in various functional business areas, exploring and visualizing problem-related data, identifying actionable insights, and communicating the results at different organizational levels). The course will feature hands-on exercises with real-world data and analytics applications.

ST625 | Quantitative Analysis for Business

Provides students with an in depth coverage of simple and multiple linear regression methods and, as time permits, an introduction to the analysis of time series data. Simple and multiple linear regression techniques are covered including the use of transformations such as squares and logarithms, the modeling of interactions, and how to handle problems resulting from heteroscedasticy and multicollinearity . Issues surrounding outlying and influential observations are also covered. The art and science of model building are demonstrated with the help of cases. Autocorrelation is then considered, and an introduction to the ARIMA modeling of times series is provided. Makes use of statistical packages such as SAS, JMP, R or SPSS.

Elective Courses

Students will choose from 600, 700 and/or 800-level electives, two from CIS and two unrestricted electives. Below are a sample of classes available:

CS603 | Algorithmic Thinking with Java

This course teaches programming using the Java language, which is widely used in business. By focusing on algorithm development, data structures, logical reasoning skills, and sound programming practices, students learn to analyze and tackle business programs with software solutions. Emphasis is placed on the importance of writing and thoroughly testing code that is well structured and runs efficiently. Students first gain a solid understanding of programming fundamentals before delving into higher-order concepts, including abstract data types. Practical hands-on exercises and assignments using a well-known, integrated development environment reinforce algorithmic thinking, programming, and debugging skills. No prior programming experience is required.

CS612 | Cloud-Based Enterprise Applications

This course provides a hands-on introduction to several cloud based technologies and automation tools that are commonly utilized to develop enterprise applications. The course also considers the impact of these technologies in a business context. Students learn how to develop dynamic, data-driven enterprise applications that are continuously integrated and continuously delivered. These applications enable businesses to interact with their customers, employees, and suppliers, and provide online access to information that supports decision-making. Students enrolled in this course are expected to have basic proficiency in a programming language (Java or Python) and relational databases.

CS650 | Data Analytics Architectures with Big Data

The architecture of modern database systems for data analytics with big data are examined. This course provides a hands-on introduction to several architectures and approaches for data for analytics, including data from operational transactions, sensor data, web logs and social media sites. It explores the different types of data that make up the big data space, and applies capture and storage technologies appropriate for relational and non-relational models, such as clickstreams and user navigation of web sites. Data will be explored using Python-based tools for analytics and visualization. Students enrolled in this course are expected to have basic proficiency in the Python programming language and relational databases.

CS680 | Mobile Application Development

This course is an introduction to developing mobile applications, beginning with mobile operating system capabilities and application architecture and extending to major components, such as activities , services, broadcast receivers and others. Students learn how to develop interactive applications using widget libraries, web-based services, animation, an SQL database engine, and multithreading. Students in this course are expected to have proficiency in Java, website development an SQL queries.

CS703 | Looking into the Future: Automation and Digital Technologies

This course will survey a range of new and evolving digital technologies, their applications and issues surrounding their use. This discussion-based course will be co-taught by several faculty members, who will lead class meetings, followed by discussions examining issues surrounding the use of the presented technologies in practice. The choice of topics will depend on the contributing faculty and vary from one semester to another. Assignments will include extensive readings and reflections on the topics under study, written summaries and group presentations on specific technologies, and the development of forward-looking ideas on applications of technologies of interest to students and faculty members.

CS733 | Artificial Intelligence Techniques and Applications

This course will survey a range of new and evolving digital technologies, their applications and issues surrounding their use. This discussion-based course will be co-taught by several faculty members, who will lead class meetings, followed by discussions examining issues surrounding the use of the presented technologies in practice. The choice of topics will depend on the contributing faculty and vary from one semester to another. Assignments will include extensive readings and reflections on the topics under study, written summaries and group presentations on specific technologies, and the development of forward-looking ideas on applications of technologies of interest to students and faculty members. 

CS753 | Business Intelligence Methods and Technologies

This course expands students’ knowledge and skills gained in database management courses and looks in depth at business intelligence methods and technologies. The course examines the entire business intelligence life cycle, including system architecture design, data processing, modeling, warehousing, online analytical processing and reporting. Case studies of organizations using these technologies to support business intelligence gathering and decision-making are examined. This course also provides hands-on experience with state-of-the-art business intelligence methods and tools. 

CS795 | Special Topics Seminar

This course offers a structured opportunity for exploring new business applications of emerging hardware or software technologies. It requires active student participation in developing and presenting course materials.

CS881 | Computer Information Systems Internship

This course provides an opportunity for advanced MSDI students to exercise theory, knowledge and skills developed through the program, by serving as an information systems professional in a real employment environment. Through the internship coordinator, students solicit and respond to internship offers from commercial, governmental and nonprofit employers. Students maintain contact with the internship coordinator and critically analyze their work experience in a formal paper. Students have the option of making a presentation to the CIS community upon completing the internship, which normally spans one academic term.

Application Deadlines

Find Yourself at Bentley

To create a thriving population of students with a wide range of life and work experiences, Bentley considers the entirety of candidates’ applications including prior work experience, test scores, learning objectives, and other factors as we determine admissions decisions.

MSDI Program Requirements
Application fee / Transcripts / Resume / 2 Essays / GMAT or GRE scores (may be waived for qualified students) / TOEFL/IELTS scores for international students (may be waived for qualified students) / Two letters of recommendation / Interview (may be requested by Bentley)

Fall 2019 Term Entry: Upcoming Deadline

July 1, 2019
Students seeking visas for the Fall should apply by this date

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Fall Term Entry

 Full-Time & Part-Time

Round Send Completed Application By Admission Decision Available
Early Action: November 1 December 15
Round 1: December 1 January 15
Round 2: January 20 March 15
Round 3: March 15 May 1
Rolling Admission: May to August 2 weeks from submission
Spring Term Entry

Full-Time & Part-Time

Round Send Completed Application By Admission Decision Available
Round 1/Priority: October 1 2 weeks from submission
Rolling Admission: October to December 2 weeks from submission

Notes:

  1. Students seeking visas for Fall should apply by July 1, and for Spring should apply by November 1
  2. Applicants who wish to be considered for merit-based aid should apply as early as possible.
  3. Those who apply during the Rolling admission period are accepted on a space-available basis.
  4. Accepted students must confirm their acceptance within 2 weeks of decision to reserve their space in their program.

Tuition & Aid

There are many ways you can pay for your education and receive aid.