Computational Science

Graduate Studies

Effective Spring 2016:  The Master of Computational Science program was placed under review. This review process allows the University to better understand reasons for low enrollment and consider alternative strategies. In order to conduct a thorough review, Stockton University will not be accepting new applications and non-matriculated registration is not possible.

 CurriculumAdmissions Criteria Direct Entry Program Brochure
 

About our Program

IBM estimate that two and a half million terabytes of data are created every day. This is the equivalent of over 300 million HD movies! Ninety percent of the world’s data was generated in just the past two years. Data is created by:  individuals (through social networks and smartphones); machines (through real-time, network connected, sensors – “the internet of things”);  business and commerce (e.g. transaction records); science (e.g. bioinformatics, large scale simulation). Much of this data is real time and georeferenced through GPS.  Making sense of this vast sea of data for the use and benefit of society is considered an imperative of the coming years, indeed many companies are already strategizing for “big data”. Computational or data scientists develop solutions for gathering, cleaning, archiving, analyzing and visualizing data for the purposes of making informed decisions.

Some examples of data science projects include:

Business: Use historical discounting data from a department chain store at fifty locations to predict how sales vary with department.

Entertainment: Perform a sentiment analysis on the tweets about summer blockbuster movies sentiments and use to predict box office takings.

History: Develop a geospatial database of conflicts occurring during the Scottish Wars of Independence (1296-1328)

Science: Analyze the jpg images of one million galaxies to categorize them according to their morphology.

Health: Predict disease likelihood by exploring and correlating patient case history and genetic databases.  

Criminal Justice: Gather and visualize real time crime statistics for a city for efficient resource deployment.

Education: Create a web based dashboard for describing student performance metrics across a school district.

Our program accentuates applied work where in-class assignments are supplemented by research
projects and internships at local industry to provide for a smooth transition into either a
professional or research career.

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The Curriculum           

The self-standing Master’s degree program consists of 36 credit hours (12 graduate courses) that can be completed in full-time or part-time study. Full-time study would typically require at least two years. Master’s degree students are bound by the academic progress requirements of the University’s graduate school, covered earlier in this Graduate Bulletin. All courses are for 3 graduate credits.

MSCP Curriculum- 36 Credits
Core Courses- 12 Credits
CPLS 5101 Data Structures and Analysis
CPLS 5102 Data Gathering and Warehousing
CPLS 5103 Data Visualization
CPLS 5301 Data Practicum I
 
Research Courses- 6 Credits
CPLS 5800/5900 Research Project/Internship
 
Electives- 12 Credits (elective offerings will vary each semester)
CPLS 5201 Pervasive Computing
CPLS 5202 Machine Learning
CPLS 5203 Case Studies in Analytics
CPLS 5204 Data Storytelling
CPLS 5302 Data Practicum II
CPLS 5303 Data Practicum III

 

For course descriptions, please visit The University's Course Catalog.


Admissions Criteria

Application Deadline
Fall: July 1
Spring: December 1

 

 

 

Effective Spring 2016:  The Master of Computational Science program was placed under review. This review process allows the University to better understand reasons for low enrollment and consider alternative strategies. In order to conduct a thorough review, Stockton University will not be accepting new applications and non-matriculated registration is not possible.

Prerequisite Requirements

  • Undergraduate cumulative GPA of 3.0 or better.
  • Possess a baccalaureate degree from a regionally accredited institution of higher education in areas such as science, mathematics, business, health, humanities, and the social sciences.
  • Applicants should highlight any computer and/or quantitative skills. If the applicant is deficient in any skills required for the program, he/she will be asked to take appropriate undergraduate courses before starting the degree.

To be considered for admission to the MSCP program, applicants must submit the following prior to the deadline:

  1. Discover Stockton Online Application (you must create a Discover Stockton Account)
    • If you are a recent Stockton graduate, check to see if you qualify for the Direct Entry Option.
  2. Application Fee: $50 (non-refundable), submitted with your online application
  3. Graduate Essay
  4. Three current letters of recommendation sent electronically via the Discover Stockton Application
  5. Resume
  6. Official Transcripts from all colleges/universities attended (including Stockton) mailed or dropped off directly to the Office of Graduate Studies

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Transfer Credit
Provided that the courses sufficiently match corresponding Stockton courses, the University will accept up to nine credits of appropriate, relevant graduate credits from other regionally-accredited colleges and universities. Graduate credit will only be accepted upon application to Stockton and approval of the Graduate Transfer Equivalency Form. Once students have matriculated at the College, students will be required to finish the remainder of their course work at Stockton.

Apply today.  If you have further questions Request More Information or please call the Office of Graduate Studies at (609) 626-3640 or E-mail gradschool@stockton.edu.

J. Russell Manson
Program Director
Ph.D. (University of Glasgow)
Associate Professor of Computational Science

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