Program Overview 

Program Coordinator Aaron Hines, (845) 257-2968, hinesa@newpaltz.edu
Program ID BS Computer Science 513C, MS Business Analytics 263
Credits BS Computer Science AP 69 credits (inclusive of 6 graduate credits), MS Business Analytics 30-36
Program Length The Accelerated Pathway program in Business Analytics program may be completed full-time in nine months. Students needing foundation courses may complete the program within one year; however, the degree must be completed within 7 years.
Modality The MS may be completed In-person or Online -- all courses are taught in a Hyflex modality where instruction is simultaneously delivered to students in a seated class as well as online.
Full-time/Part-time Full-time (15credits/term)
Transfer Credits 6 graduate credits will be applied to both the BS and MS degree programs.

Program Description 

This accelerated plan of study provides a pathway to earning a master’s degree in business analytics along with a bachelor’s degree in computer science. Students enrolled in the BS/MS program complete 6 graduate-level credits in business electives during their senior year. These credits are offered at the reduced undergraduate tuition rate and fulfill both undergraduate and graduate program requirements  

Business Analytics is the science of turning data into meaningful information that a business could use to its competitive advantage. The M.S. in Business Analytics program will develop business professionals proficient at extracting business value from dataThe program focuses on the development of core analytics skills and emphasizes the application of analytics in business areas from accounting to marketing and across industries from healthcare to sports  

How does it work?

Get started by declaring the Computer Science AP major (513C) as an undergraduate:

  • Meet with AP advisor, Aaron Hines, to declare the Computer Science AP major for the MS in Business Analytics.
  • Work with your AP advisor to select two MS courses to take during your senior year.
  • Apply for the MS Business Analytics AP program in your senior year.
  • Transfer 6 credits of MS electives taken as an undergraduate into your graduate program.

Apply to a SUNY New Paltz graduate programMS Admission Requirements

Graduate admission requires submission of:

  • Graduate application - select major 263
  • 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 MS courses taken as a senior.
  • One letter of recommendation

Admission Deadlines

Fall Admission July 31
Spring Admission January 1
Applications are reviewed on a rolling basis until the program's cohort is filled or until the deadline stated above.  Applications submitted after the posted deadline will not be considered.  Applying early ensures an easier registration process.  Applicants wo are admitted later in the admission cycle may find that classes that they wish to enroll in are already full.
 

Curriculum Requirements

BS Computer Science AP (major 513C)

Required Computer Science Courses (69 Credits)
CPS210Computer Science I: Foundations 4
CPS310Computer Science II: Data Structures 4
CPS315Computer Science III4
CPS330Assembly Language and Computer Architecture 4
CPS340Operating Systems4
CPS352Object Oriented Programming 3
CPS353Software Engineering 3
CPS415Discrete and Continuous Computer Algorithms3
CPS425Language Processing4
Select a capstone pairing:7
CPS440 Database Principles + CPS485 Projects
CPS470 Computer Com Networks + CPS485 Projects
CPS493 Computer Sci Selected Topic + CPS485 Projects
Required Mathematics Courses11
Calculus I
Calculus II
Discrete Mathematics for Computing
Required Science Courses - select a grouping below:8
CHE201 General Chemistry I & CHE211 General Chemistry I Lab and CHE202 General Chemistry II & CHE212 General Chemistry II Lab
PHY201 General Physics I & PHY211 General Physics I lab and PHY202 General Physics II & PHY212 General Physics II Lab
BIO201 General Biology I & BIO211 General Biology I Lab and BIO202 General Biology II & BIO212 General Biology II Lab
GLG201 Physical Geology & GLG211 Physical Geology Lab and plus, one 4-credit Geology course with GLG201 prereq
Required Engineering Courses4
Digital Logic Fundamentals
Digital Logic Lab
Graduate Business Electives6
Select two graduate business analytics electives with advisement
Total Credits69

MS Business Analytics (263)

Any graduate course taken as part of the BS Computer Science AP program will transfer into the MS Business Analytics plan of study

Foundation Courses (0-6 credits) (0 Credits)0-6
0-6 credits depending upon prior coursework
Statistics Analysis & Decision Theory
Python Programming for Analytics
Core Courses (0 Credits)21
Advanced Statistics for Business Analytics
Data Wrangling and Visualization
Data Warehousing and Big Data
Text Analytics
Machine Learning
Data Mining
Deep Learning
Select a Concentration: (0 Credits)9
Course lists for each concentration area are below.
Accounting
Business Intelligence
Healthcare
Total Credits30-36

Accounting Concentration (263A) 

Accounting Concentration (9 Credits)
BUS581Accounting Information Systems 3
BUS616Forensic Accounting3
BUS617Accounting Data Analytics3
Total Credits9

Business Intelligence Concentration (263B)

Business Intelligence Concentration (9 Credits)
Choose three from:9
Spreadsheet for Business Analytics
Sport Analytics
Advanced Healthcare Analytics
Social Network and Web Analytics
Time Series and Forecasting
Customer Analytics
Natural Language Processing
Total Credits9

Healthcare Concentration (263H)

Healthcare Concentration (9 Credits)
BUS626Advanced Healthcare Analytics3
Choose two from:6
Health Care Finance
Healthcare Policy
Healthcare Management and Leadership
Total Credits9

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 standingStudents with a cumulative GPA between 2.75 to 2.99 are strongly advised to reconsider continuing into the graduate programStudents with a cumulative GPA below 2.75 may not continue and will be de-matriculated from GR 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 Computer Science Program Learning Outcomes 

Graduates of the BS in Computer Science will be able to: 

  • 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 the fundamentals of at least one of these laboratory sciences: physics, chemistry, biology, or geology. 

  • Understand continuous and discrete mathematical structures relevant to computing. 

 
 

MS Business Analytics Program Learning Outcomes 

Graduates of the MS in Business Analytics will be able to: 

  • Understand the different forms of analytics and develop a sound understanding of the methods used in each. 

  • Develop hands‐on experience with analytical tools and software that are widely used in practice including emphasis on Python, SQL, no-SQL, Tableau, and other current and trending technologies. 

  • Apply analytics in different business domains to enhance decision making. 

  • Understand the dynamics of leading and participating in successful analytics teams and projects.