Program Overview
| AP 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 | BS: In -person, 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 data. The 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.
MS 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
| July 31 | Fall Admission |
| January 1 | Spring Admission |
Curriculum Requirements
BS Computer Science AP (major 513C)
| Code | Title | Credits |
|---|---|---|
| Required Computer Science Courses (40 Credits) | ||
| CPS210 | Computer Science I: Foundations | 4 |
| CPS310 | Computer Science II: Data Structures | 4 |
| CPS315 | Computer Science III | 4 |
| CPS330 | Assembly Language and Computer Architecture | 4 |
| CPS340 | Operating Systems | 4 |
| CPS352 | Object Oriented Programming | 3 |
| CPS353 | Software Engineering | 3 |
| CPS415 | Discrete and Continuous Computer Algorithms | 3 |
| CPS425 | Language Processing | 4 |
| 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 Courses (11 Credits) | ||
| MAT251 | Calculus I | 4 |
| MAT252 | Calculus II | 4 |
| MAT320 | Discrete Mathematics for Computing | 3 |
| Required Science Courses (8 Credits) | ||
| 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 Courses (4 Credits) | ||
| EGC220 | Digital Logic Fundamentals | 3 |
| EGC221 | Digital Logic Lab | 1 |
| Graduate Business Electives (6 Credits) | ||
| Select two graduate business analytics electives with advisement | 6 | |
| Total Credits | 69 | |
MS Business Analytics (major 263)
| Code | Title | Credits |
|---|---|---|
| Foundation Courses (0 Credits) | 0-6 | |
| Statistics Analysis & Decision Theory | ||
| Python Programming for Analytics | ||
| Core Courses (21 Credits) | ||
| BUS611 | Advanced Statistics for Business Analytics | 3 |
| BUS612 | Data Wrangling and Visualization | 3 |
| BUS615 | Data Warehousing and Big Data | 3 |
| BUS621 | Text Analytics | 3 |
| BUS631 | Machine Learning | 3 |
| BUS632 | Data Mining | 3 |
| BUS638 | Deep Learning | 3 |
| Select a Concentration (0 Credits) | 9 | |
Accounting | ||
Business Intelligence | ||
Healthcare | ||
| Total Credits | 30-36 | |
Accounting Concentration
| Code | Title | Credits |
|---|---|---|
| Accounting Concentration (9 Credits) | ||
| BUS581 | Accounting Information Systems | 3 |
| BUS616 | Forensic Accounting | 3 |
| BUS617 | Accounting Data Analytics | 3 |
| Total Credits | 9 | |
Business Intelligence Concentration
| Code | Title | Credits |
|---|---|---|
| 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 Credits | 9 | |
Healthcare Concentration
| Code | Title | Credits |
|---|---|---|
| Healthcare Concentration (9 Credits) | ||
| BUS626 | Advanced Healthcare Analytics | 3 |
| Choose two from: | 6 | |
| Health Care Finance | ||
| Healthcare Policy | ||
| Healthcare Management and Leadership | ||
| Total Credits | 9 | |
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
-
Apply for graduation via my.newpaltz.edu under “Graduation” tab according to the schedule in the academic calendar.
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Resolve any pending admission conditions (outlined in your acceptance letter) and/or missing documents if applicable.
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Review your progress report via my.newpaltz.edu to ensure that you have completed all program requirements.
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Remember that only two grades below a B- may be applied to your plan of study
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Contact your advisor if you need to amend your plan or process transfer credit.
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Ensure that you are in good academic standing with a GPA (Grade Point Average) of 3.0 or higher.
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Pass your capstone or culminating assessment.
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Complete your degree within the specified time limit outlined in the Program Overview.
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.
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Design and analyze algorithms.
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Design a new programming language and write a compiler or interpreter for it.
-
Apply object-oriented programming and software engineering principles.
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Design and implement digital circuits.
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Understand the structure and operation of a modern operating system.
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Understand theoretical computer science concepts, such as the Turing machines and automata and computability theory.
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Understand the fundamentals of at least one of these laboratory sciences: physics, chemistry, biology, or geology.
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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:
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Understand the different forms of analytics and develop a sound understanding of the methods used in each.
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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.
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Apply analytics in different business domains to enhance decision making.
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Understand the dynamics of leading and participating in successful analytics teams and projects.
