Department of Computer Science

The UMass Lowell Computer Science graduate program provides computer scientists with an education of sufficient breadth and depth to prepare them for leadership positions in both industrial and academic environments. It is distinguished by a balanced mixing of the practical, engineering aspects of computer science, with substantial exposure to the theoretical foundations of the field. This mission is supported by departmental and university research labs and Centers. Our graduate program is intended primarily for students with undergraduate degrees in computer science, or for those who have completed a degree in a related area (Engineering, Mathematics, Physics, etc.) and who possess a substantial background in computer science.


The Computer Science Department has strong industrial ties through its faculty members, its participation in the research activity in various University Centers, its internal laboratories and institutes, its continuing relationships with many local computer and software manufacturers, and its industrial advisory committee. These relationships provide sources of short and long range research projects, hardware donations and student funding, while also providing insight to and understanding of the short and long term directions of local industry. To support instructional and research activities, the Department of Computer Science maintains a large heterogeneous network, including PCs, workstations, and a collection of more specialized equipment. All systems and servers are connected to /accessible via the University’s network.

Department Research Groups / Laboratories:

  • Compilers and Parallel Systems
  • Computational Mathematics Research Group
  • Computing Theory and Algorithms Group
  • Database and Software System Research Group
  • Discovery and Knowledge Representation Research Group
  • Engaging Computing Group
  • Institute for Visualization and Perception Research
  • Laboratory for Artificial Intelligence and Robotics
  • Network and Systems Security Laboratory
  • Robotics Lab
  • Text Machine Lab for Natural Language Processing

 The Master of Science Degree Program

The Master of Science degree program in Computer Science serves several audiences, from the professional with extensive industrial experience to the recent graduate aiming ultimately for an advanced research degree. In all cases, a major objective is to prepare the student for a professional work environment in which continued growth is the norm.

The Computer Science Department offers to outstanding undergraduates a Bachelor's-Master's (BS/MS) program. The major advantage of this program is that it allows students to integrate their undergraduate and graduate education, possibly reducing the amount of time required for completion and reducing the administrative overhead for the student.

To be accepted into the BS/MS program, students are expected to have at least a B (3.0) grade point average, both overall and in Computer Science, and to apply during their junior year. The rules governing eligibility for the program appear in the current UMass Lowell online Graduate Catalog.

 The Master of Science, Professional Science Master's Entrepreneurship Option

Course Requirements:

  • 34 Course Credits (11 courses)
  • Eight Graduate level courses in Computer Science and three graduate level courses in Management, plus 1-credit Professional Internship and two zero-credit Seminars, under the direction of the Graduate Coordinator, from approved list of courses.

 The Master of Science, Bioinformatics Option

Course Requirements:

  • 30 Courses Credits (10 courses)
  • Eight Graduate level courses in Computer Science and two graduate level courses in Biology, under the direction of the Graduate Coordinator, from an approved list of courses.

 The Master of Science, Information Technology (Online Program)

The program is offered fully online, providing a pathway for students who have completed a Bachelor's in Information Technology degree and for working professionals who want to pursue advanced graduate studies in information technology. The online delivery framework provides an accessible format for students juggling work and family responsibilities.

Students may also count course from two graduate IT certificate programs in Systems Models and Management and Network Security towards the Master's Degree in Information Technology.

The 10-course master's degree program is designed to provide both a principled and applied exposure toward designing, managing and deploying networked systems of computers. The program places emphasis on practical skills based on Linus/Unix, Windows and Apple platforms, but also teaches general principles along with their technical and ethical foundations.

Admissions Requirements:

  1. Completion of an undergraduate BS or BA degree from an accredited institution.
  2. Mathematical Maturity: Students should have completed a minimum of one semester of precalculus mathematics, one semester of discrete mathematics and one semester of statics as part of their undergraduate studies, or possess the equivalent experience.
  3. C Programming proficiency, to include a minimum of one semester of C Programming an one semester of Data Structures, or the equivalent experience.

Note: Students who do not meet the above requirements, may need to take additional undergraduate courses in order to meet the requirements.

Program Outline:

30 Course Credits (10 Courses)

System Infrastructures Courses: (Choose 2 of the following)

  • MSIT.5110 Network and Systems Administration (3 credits)
  • MSIT.5170 Operating Systems Foundations (3 credits)
  • MSIT.5190 Virtual Systems (3 credits)
  • MSIT.5140 Systems Security and Auditing (3 credits)

Network Infrastructure Courses: (Choose 2 of the following)

  • MSIT.5600 Network Infrastructures (3 credits)
  • MSIT.5610 Computer Network Security (3 credits)
  • MSIT.5620 Digital Forensics (3 credits)
  • MSIT.5630 Secure Mobile Networks (3 credits)
  • MSIT.5650 Cloud Computing (3 credits)

Software Management Courses: (Choose 2 of the following)

  • MSIT.5180 Large Scale Application Deployment (3 credits)
  • MSIT.5310 Project Management (3 credits)
  • MSIT.5320 Managing Large Date (3 credits)

Program Electives: (Choose 4 additional MSIT.xxxx courses from this Program Electives or from any of the first three categories above, as long as you have not already taken the course to fulfill the above category requirements).

  • MSIT.5350 Agile and Iterative Project Management (3 credits)
  • MSIT.5360 Data Mining (3 credits)
  • MSIT.5410 Information Security, Privacy and Regulatory Compliance (3 credits)
  • MSIT.5430 Intrusion Detection Systems (3 credits)
  • MSIT.5450 Designing and Building a Cybersecurity Program (3 credits)
  • MSIT.5660 Advanced Cloud Computing (3 credits)

  The Doctor of Philosophy Degree Program

The Doctor of Philosophy degree program aims to provide a student, whether planning on an industrial or academic career, with a challenging research environment and the opportunity to tackle theoretical or applied projects of major scope, depth, and originality.

Admission Standards and Criteria

General Requirements

In addition to the general requirements for admission, applicants for admission to the graduate program at both the Master of Science and Doctor of Philosophy level are expected to have an undergraduate degree in Computer Science or a related discipline such as Mathematics, Physics, or Engineering. They should submit an official application (obtainable from the Graduate Admissions Office). In addition to undergraduate transcripts and letters of recommendation, applicants are expected to submit an official score from the Graduate Record Examination (GRE). Any student may be required, at the discretion of the department, to complete transitional or remedial courses without graduate credit.

MS Admission Requirements

In order to be fully matriculated into the MS program, students must demonstrate competency in the following six knowledge areas:

  • Data Structures and Programming in C, C++, or Java
  • Operating Systems
  • Analysis of Algorithms
  • Calculus
  • Discrete Mathematics
  • Probability and Statistics

Competency is typically demonstrated by producing a transcript of previous academic experience which contains passing grades in courses related to these six areas, or by earning a B or better in the courses below. Knowledge in areas that have not been satisfied at the time of entrance into the M.S. program become conditions on full matriculation. It is the student's responsibility to fulfill his/her conditions at the earliest possible time. The following is the list of courses which satisfy each of the six knowledge areas.

Data Structures and Programming in C, C++ or Java:

  • COMP.1020 Computing II

Operating Systems:

  • COMP.3080 Introduction to Operating Systems


  • COMP.4040 Analysis of Algorithms


  • MATH.1310 Calculus I and MATH.1320 Calculus II

Discrete Math:

  • MATH.3210 Discrete Math I and MATH.3220 Discrete Math II

Probability and Statistics:

  • MATH.3860 Probability and Statistics I

Ph.D. Admission Requirements

In addition to the requirements for admission into the Master of Science in Computer Science program, admission into the Doctor of Philosophy degree program requires a Master’s degree in Computer Science. If the student does not already have an MS in CS, they may be admitted into the MS/Ph.D. program; in this program, students must complete the required coursework for the MS in CS as well as degree requirements for the Ph.D. in CS.

Financial Support

The Department has a limited number of teaching assistantships available to qualified graduate students. These assistantships can be renewed for up to four semesters. Other support is available through funded research programs in the departmental laboratories and, possibly, through support from other university departments.