Feb 02, 2023  
Mercy College 2019-2020 Graduate Catalog 
    
Mercy College 2019-2020 Graduate Catalog [ARCHIVED CATALOG]

Computer Science, M.S.


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Narasimhaswamy Banavara, Ph.D., Program Director
914-674-7443
nbanavara@mercy.edu

Courses also offered online

Purpose


The 30-credit Master of Science in Computer Science is designed to equip students with the necessary theoretical fundamentals as well as knowledge about cutting-edge application tools to solve data science and software development problems. Students choose from two specialization tracks; Software Development or Data Science.

In the Software Development specialization, students are trained in the software development processes, including mobile and distributed data development, and software assurance. 

In the Data Science specialization, students are introduced to and trained in the mathematical methods of data science, computational data analysis, machine learning, and applications in big data. 

Program Objectives


For all students in the M.S. program in Computer Science:

  1. Acquire a working knowledge of the theoretical foundations of Computer Science
  2. Develop critical thinking, problem-solving and analytical skills

Additionally, for students in the Software Development specialization: 

   3. Develop software design and development skills

Additionally, for students in the Data Science specialization: 

Program Goals: 

  4. Develop and in-depth understanding of the key technologies in computer science

 

Student Learning Outcomes (SLO’s)


Students who graduate with a Master’s in Computer Science will be able to:

  1. Communicate Computer Science concepts, designs, and solutions effectively and professionally
  2. Develop efficient and effective algorithmic solutions to real-world problems
  3. Analyze and evaluate the complexity and computability of solutions to real-world problems

Additionally, for students in the Software Development specialization: 

   4. Design, develop and test complex programs

Additionally, for students in the Data Science specialization:

   5. Mine, analyze, and visualize data

   6. Solve real-world problems by applying principles of computing intelligence and data analytics

Admission Requirements


  1. One course in Discrete Structures
  2. Two courses in Calculus
  3. At least one course in Data Structures
  4. Linear Algebra and Analysis of Algorithms are recommended but not required
  5. Please refer to the general requirements for admission and matriculation in the Admissions   section of this catalog. 

Electives


(Choose any two of the following)

Total Credits: 30


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