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Graduate Certificates in Engineering and Computational Sciences


Expand your skill set and your resume with a 12-credit graduate certificate from Merrimack College.

Tell me more about Merrimack’s graduate certificates in Engineering and Computational Sciences.

By submitting this form, you agree to be contacted by Merrimack College and its partners via email, phone or text for program information and application guidance. You grant us permission to call or text you at this number, and that contact may be made using automated dialing systems and/or an artificial or prerecorded voice.

Four Graduate Certificate Options

AI Engineering Certificate 

This certificate offers advanced training in AI engineering, equipping students with the skills to build robust applications and solve complex technical problems. It is ideal for those seeking to upskill, advance their careers or enter AI-focused roles.

Complete three courses:

This course explores the concept of the thinking machine, capable of its own reasoning and extending itself beyond the limits of its programming. Core topics include extending a machine’s ability to search for its own solutions through the exploration of problem spaces and the use of reasoning through propositional and first-order logic. Advanced topics may include data mining, deep learning, artificial life and natural language understanding. Credits: 4

In this course, students learn about the basics of deep neural networks and their application to AI tasks. The course explores various neural network structures, such as feedforward networks, recurrent networks, convolutional networks and transform networks. Students learn to utilize deep learning techniques in their software design and development. Additional topics include linear algebra, simulation, modeling, tensors and others as time allows. Credits: 4

This course explores the ethical considerations of the use of artificial intelligence. Students review case studies and applications and learn to identify issues of fairness, justice, bias and truth. Students also learn to understand dataset and algorithmic biases, as well as methods to mitigate them. Students gain the skills to incorporate these methods in their own software development. Credits: 4

Applied AI Certificate 

Students develop a thorough understanding of the algorithmic foundations, training, evaluation and applications of artificial intelligence and machine learning as they pertain to text and image processing, data engineering and predictive analytics.

Previous coursework or experience in Python programming and basic predictive modeling is required. Choose three courses:

Students learn automated pattern detection approaches focused on unsupervised and supervised learning, feature engineering, classification, regression and neural networks. Model development is completed using Python and PyTorch. Credits: 4

This course provides an introduction to machine learning on unstructured data sets, focusing on text and image data. More specifically, students learn current machine learning workflows and techniques for extracting critical insights and then apply their knowledge to real-world text and image data sets, typically in TensorFlow. The course includes an overview of these highly complex topics, focusing on the key intuition behind established approaches and hands-on application of techniques. Credits: 4

This course covers cloud-based AI systems using state-of-the-art, industry-standard platforms. The course also includes an overview of the process of creating Deep Learning AI models on cloud systems and the data engineering aspects necessary to implement such systems. Students build an online, trained AI system as part of the course project. Credits: 4

This course provides students with a comprehensive understanding of the big data processing foundation and techniques. Students gain an understanding of basic concepts of parallel computing, big data, Hadoop, MapReduce and Spark. They also develop skills to solve big data processing problems. Credits: 4

Cybersecurity Certificate

The cybersecurity certificate is for students seeking to gain practical, industry-relevant expertise to specialize in high-demand areas, such as network security, ethical hacking and penetration testing and incident response and digital forensics.

Prerequisite: Introduction to Information Technology (ITS 6003)

This course spans the intricate landscapes of computer networks, from foundational models to practical implementations. As data traverses these networks, its security becomes crucial. Students delve into the OSI and TCP/IP models, wireless networks, Quality of Service, Multipathing, channel bonding and additional networking technologies, such as InfiniBand, all through a cybersecurity lens. They also address real-world challenges such as intrusion detection, secure communication protocols and the gamut of threats that lurk in the interconnected digital cosmos. Students emerge with a dual proficiency in designing efficient networks and safeguarding them against an ever-evolving landscape of cybersecurity threats. Credits: 4

Prerequisite: ITS 6003

This course explores the concepts of ethical hacking methodologies and penetration testing techniques. Students dive into advanced topics, including legal and ethical considerations, information gathering, network scanning, vulnerability exploitation, web application hacking and wireless network security. This course provides the skills to identify, exploit and report security vulnerabilities in various IT systems. Credits: 4

Prerequisite: ITS 6023

This course explores the concepts of how to effectively manage and respond to security incidents by exploring the incident response lifecycle. Students learn about the processes and tools involved in incident response and digital forensics. The course covers key topics such as incident detection, containment strategies and system recovery, with a strong emphasis on digital forensics fundamentals, including evidence collection, disk analysis and malware forensics. Credits: 4

Prerequisite: ITS 6023

Data Science Foundations Certificate 

This certificate is geared toward professionals interested in acquiring data literacy and developing the core data analytic skills to build or advance their careers in data science. No experience or prerequisites required.

Choose three of the following courses:

Students will become familiar with the field of data science, its applications and use cases. Students will learn relevant statistical topics with applications in data science. Credits: 4

Students will learn to write and read Python and R programming codes for exploring, summarizing and visualizing numerical, categorical, date and text data. Credits: 4

Learn to use industry-leading software to “tell the story of the data” by creating graphical summaries using Tableau and interactive dashboards using R Shiny. Credits: 4

Students learn about data capture-related rights and responsibilities, data governance design and management, data security and privacy, information quality and the ethical aspects of data access, usage and sharing. In addition, learners study operational and experiential aspects of data governance and differential privacy. Credits: 4

In this course, students study the application and validation of multivariate predictive models focused on estimation of continuous or categorical outcomes, emphasizing statistical bases of models. Credits: 4


Student Support Resources

Students in the School of Engineering and Computational Sciences benefit from a dedicated success team.

Support includes:

  • Access to coding and LinkedIn Learning courses
  • Personal student success coaching
  • 1:1 tutoring
  • 1:1 mentoring from faculty and program staff

It’s Easy To Apply Online

A complete application includes:

  • Online application (no fee)
  • Official college transcripts from all institutions attended
  • Resume or LinkedIn profile

GRE and GMAT scores are not required. Additional materials may be requested.

Key Dates and Deadlines

This program enrolls six times a year. Each term is eight weeks.

Term
International Application Deadline
Application Deadline
Classes Begin
Fall II
N/A
Friday, Oct. 10, 2025
Monday, Oct. 27, 2025
Spring I
Monday, Dec. 15, 2025
Monday, Jan. 5, 2026
Wednesday, Jan. 14, 2026
Spring II
N/A
Monday, March 2, 2026
Monday, March 16, 2026
Fall II
International Application Deadline
N/A
Application Deadline
Friday, Oct. 10, 2025
Classes Begin
Monday, Oct. 27, 2025
Spring I
International Application Deadline
Monday, Dec. 15, 2025
Application Deadline
Monday, Jan. 5, 2026
Classes Begin
Wednesday, Jan. 14, 2026
Spring II
International Application Deadline
N/A
Application Deadline
Monday, March 2, 2026
Classes Begin
Monday, March 16, 2026

M.S. Computer Science

EXPLORE PROGRAM

M.S. Data Science

EXPLORE PROGRAM

M.S. Information Technology

EXPLORE PROGRAM

At Merrimack College, we’re proud of our long history of providing quality degrees to students entering the job market. Our faculty are more than just teachers. We are committed to helping you grow — academically, personally and spiritually — so that you may graduate as a confident, well-prepared citizen of the world.

  • Most Innovative Schools (No. 8)
  • Regional Universities North (No. 38)
  • Best Undergraduate Teaching (No. 20)
  • Best Undergraduate Engineering Programs (No. 82)
    (at schools where doctorate not offered)
  • Best Colleges for Veterans (No. 16)
  • Best Value Schools (No. 52)
  • Merrimack College is accredited by the New England Commission of Higher Education (NECHE).

Tell me more about Merrimack’s programs.

By submitting this form, you agree to be contacted by Merrimack College and its partners via email, phone or text for program information and application guidance. You grant us permission to call or text you at this number, and that contact may be made using automated dialing systems and/or an artificial or prerecorded voice.

*This applies to new students entering the Spring I 2026 term. Does not roll over to subsequent terms. MBA excluded. Not combinable with other offers (i.e. Double Warrior, Fellowship, Partnership Discounts, etc). For CSC 6000, credit will be applied to their second course.