Program Overview

AP Coordinator Kaitlin Hoffmann, 845-257-3533, hoffmank4@newpaltz.edu
Program ID BS Business Analytics AP (531A), MS Computer Science (270)
Credits BS Business Analytics (70 credits inclusive of 6 GR Computer Science coursework), MS Computer Science (30 credits)
Program Length The Accelerated Pathway program in Computer Science may be completed in 10 semesters, but students must complete the graduate degree within 7 years.
Modality In-Person
Full-time/Part-time Full-time or Part-time
Transfer Credits 6 graduate credits will be applied to both the BS and MS degree programs.
Graduate Capstone Comprehensive Exam or Thesis

Program Description

This accelerated plan of study provides a pathway to earning a master’s degree in computer science along with a bachelor’s degree in business analytics. Students enrolled in the BS/MS program complete 6 graduate-level credits during their senior year. These credits are offered at the reduced undergraduate tuition rate and fulfill both undergraduate and graduate program requirements.  
 
The master’s degree in computer science is designed to help students from all backgrounds advance to new careers in technology fields. Our mission is to prepare the next generation of application developers, start-up entrepreneurs, and business analysts to thrive in a rapidly changing world. The program focuses on building a strong foundation in the theoretical concepts of computer science, while introducing applicable skills in areas like machine learning, web and database development, cybersecurity, and data science. Courses are taught by dedicated faculty who are experts in their fields with active research programs. Our network and security lab provides advanced computing facilities. The curriculum is constantly evolving in step with current trends in technology, emphasizing the skills that employers – especially in the Hudson Valley’s growing tech industries – need right now.  

How does it work? 

Get started by declaring the Business Analytics AP major (531A) as an undergraduate: 

  • Meet with AP advisor, Kaitlin Hoffmann, to declare the Business Analytics AP major. 

  • Work with your AP advisor to enroll in two graduate computer science courses during your senior year. 

  • Apply for the MS Computer Science program in your senior year. 

  • Transfer 6 credits of graduate electives taken as an undergraduate into your graduate program. 
     

Apply to a SUNY New Paltz graduate programGraduate Admission Requirements

Graduate admission requires submission of:

  • Graduate application - select major 270. 

  • One set of official transcripts for all undergraduate and graduate course work, including a baccalaureate transcript from a regionally accredited institution, indicating at least a 3.0 cumulative grade point average.   

  • Grades of B or higher in graduate computer science courses taken as a senior. 

Admission Deadlines

July 31 Fall Admission
January 1 Spring Admission
 

Accepting on a rolling basis until the program is full. However, applications must at least be started by the deadline, or they will not be considered. 

Curriculum Requirements

BS Business Analytics AP (major 531A)

Business Core Curriculum (0 Credits)40
Required Business Analytics Courses (15 Credits)
BUS216Data Wrangling with R3
BUS347Introduction to Business Analytics3
BUS348 Decision Modeling and Analysis3
BUS349Data Management and Big Data3
BUS381
& BUS461		Advanced Business Analytics
and Business Analytics Capstone 1		6
Electives (9 Credits)
Select 3 of the following upper division electives:9
BUS385
Supply Chain Analytics
BUS386
Marketing Analytics
BUS387
Analytics in Health Care
BUS389
Times Series Analysis for Business
BUS390
Business Intelligence and Analytics
BUS391
Data Visualization
BUS419
Seminar in Analytics
BUS425
Marketing Research
BUS452
Digital Marketing Analytics
BUS459
Intro to Risk Management and Derivatives
Graduate Electives (6 Credits)
CPS551Programming and Data Structures3
Select a graduate computer science elective with advisement3
Total Credits70
1
 

BUS461 Business Analytics Capstone fulfills the Applied Learning requirement within the Business Core Curriculum.

MS Computer Science (major 270)

Graduate study in Computer Science enables students to individualize their program of study by pursuing ten computer science courses (30 credits) and passing a comprehensive exam or completing eight courses (24 credits) and delving into a 6-credit thesis project. This flexibility allows students to explore conceptually based classes, enhance technical skills through applied learning courses, stay abreast of current trends in the field through a wide range of special topics courses, and engage in research by pursuing an optional six-credit thesis. 

Sample comprehensive exam option
Transfer Credits (6 Credits)
Graduate courses taken as an undergraduate.6
Individualized Comprehensive Exam Track: (24 Credits)
Select 8 courses by advisement24
CPS502
Discrete Structures
CPS526
Advanced Data Structures
CPS530
Computer Networks
CPS534
Foundations of Computer Science
CPS536
Machine Learning
CPS540
Artificial Intelligence
CPS551
Programming and Data Structures
CPS553
Web and Database Programming
CPS554
User Interface Programming
CPS580
Functional Programming
CPS593
Computer Science Selected topic *
CPS594
Fieldwork Comp Science
Comprehensive Exam
Total Credits30
*

Recently offered special topics courses include Cybersecurity and Database Management.

Sample thesis option
Transfer Credit (6 Credits)
Graduate courses taken as an undergraduate.6
Individualized Thesis Track (24 Credits)
Students select six graduate courses by advisement and complete a 6-credit thesis.18
CPS502
Discrete Structures
CPS526
Advanced Data Structures
CPS530
Computer Networks
CPS534
Foundations of Computer Science
CPS536
Machine Learning
CPS540
Artificial Intelligence
CPS551
Programming and Data Structures
CPS553
Web and Database Programming
CPS554
User Interface Programming
CPS580
Functional Programming
CPS593
Computer Science Selected topic *
CPS594
Fieldwork Comp Science
CPS590Thesis in Computer Science 6
Total Credits30
*

Recently offered special topics courses include Cybersecurity and Database Management.

Academic Standing Requirements for Accelerated Pathway Students 

A cumulative GPA of less than 3.0 in graduate-level courses taken in the undergraduate portion of an accelerated pathway program precludes the student’s good standing.  Students with a cumulative GPA between 2.75 to 2.99 are strongly advised to reconsider continuing into the graduate program.  

Graduation Checklist 

  • Resolve any pending admission conditions (outlined in your acceptance letter) and/or missing documents if applicable.  

  • Review your progress report via my.newpaltz.edu to ensure that you have completed all program requirements.   

  • Remember that only two grades below a B- may be applied to your plan of study  

  • Contact your advisor if you need to amend your plan or process transfer credit.  

  • Ensure that you are in good academic standing with a GPA (Grade Point Average) of 3.0 or higher.  

  • Pass your capstone or culminating assessment.  

BS Business Analytics Program Learning Outcomes 

Candidates who successfully complete all required components of the BS in Business Analytics at SUNY New Paltz will: 

ASSURANCE OF LEARNING  

The School of Business has maintained a tradition of an active and rigorous Assurance of Learning (AoL) process since our initial AACSB accreditation in 2013.  

At the undergraduate level, the five undergraduate program goals—critical thinking, oral communication, written communication, teamwork, and ethics—subsume the skill set that we believe undergraduates should possess after completing their studies. Undergraduate learning goals and corresponding learning objectives are:  

Goal 1: Critical Thinking  
1.1  Identify issues or relevant data.  
1.2  Apply appropriate principles or formulas.  
1.3  Interpret evidence or analyze data.  
1.4  Formulate well-supported conclusions or solutions.  
1.5  Draw implications from the resulting conclusions or solutions.  

Goal 2: Oral Communication  
2.1  Organization: Present information in a logical sequence.  
2.2  Content: Fulfill assignment using appropriate sources and analysis.  
2.3  Subject Knowledge: Demonstrate knowledge of subject matter being presented.  
2.4  Ability to answer questions: Address questions with relevant, correct information.  
2.5  Quality of slides: Present slides that are legible and professional in appearance.  
2.6  Voice quality and pace: Delivery is clear with appropriate volume.  
2.7  Pace of delivery: Pace is appropriate.  
2.8  Mannerisms: Demonstrates no distracting mannerisms.  
2.9  Eye contact: Maintains effective eye contact.  
2.10  Attire: Demonstrates appropriate business attire.  

Goal 3: Written Communication  
3.1  Document organization: Present materials in a logical manner; make the purpose of the writing clear to the reader.   
3.2  Paragraph coherence: Develop focused paragraphs; provide transitions between paragraphs.   
3.3  Sentence structure and vocabulary: Structure sentences correctly with no vocabulary errors present.   
3.4  Mechanics & usage: Adhere to standard rules of grammar and usage; cite outside materials as needed.   
3.5  Critical thinking: Develop well-reasoned arguments; support arguments with facts and evidence drawn from appropriate sources; analyze effectively.   
3.6  Content: Present content to meet the requirements of the assignment; demonstrate accurate subject knowledge; reflect understanding of the material.   
3.7  Tone & format: Use tone and perspective consistent with the requirements of the assignment; choose words appropriate for the audience; format the assignment to meet the specified guidelines.  

Goal 4: Teamwork  
4.1  Contribute ideas/suggestions.  
4.2  Contribute research and/or data.  
4.3  Develop key parts of deliverables.  
4.4  Follow through on tasks.  
4.5  Reliable in doing work.  
4.6  Attend group meetings.  
4.7  Plan activities.  
4.8  Assume leadership role.  
4.9  Participate in group discussions.  
4.10  Contribute time.  
4.11  Offer constructive criticism/suggestions.  
4.12  Willing to consider alternative viewpoints.  
4.13  Work to resolve differences among group.  
4.14  Work to establish consensus among group.  
4.15  Show respect for others.  

Goal 5: Ethics  
5.1  Identify ethical issues or dilemmas.  
5.1  Identify stakeholders and their conflicting values in the decision.  
5.1  Analyze alternatives and consequences.  
5.1  Select a course of action.  

Goal 6: Information Management  
6.1  Perform the basic operations of personal computer use.  
6.1  Determine and access the information needed.  
6.1  Access and use information ethically and/or legally.  
6.1  Evaluate information and its sources critically.  
6.1  Use information effectively to accomplish a specific purpose.  

 

MS Computer Science Program Learning Outcomes 

Candidates who successfully complete all required components of the MS in Computer Science program at SUNY New Paltz will: 

  • Develop skill in programming in several high-level languages, assembly language, machine language, and microcode.  

  • Develop the ability to learn new programming languages without formal instruction.  

  • Design and analyze algorithms.  

  • Design a new programming language and write a compiler or interpreter for it.  

  • Apply object-oriented programming and software engineering principles.  

  • Design and implement digital circuits.  

  • Understand the structure and operation of a modern operating system.  

  • Understand theoretical computer science concepts, such as the Turing machines and automata and computability theory.  

  • Understand continuous and discrete mathematical structures relevant to computing.