As part of The City University of New York’s response to the COVID-19 pandemic, during the Fall 2020 semester, students shall have the option to convert some or all of the (B+ through F) letter grades they earn in their classes, to Credit/No Credit (CR/NC) grading, per the provisions below.
1. During the Fall 2020 semester, all students enrolled in courses with the CR/NC policy shall have the option to convert some or all of the (B+ through F) letter grades they earn in these classes to Credit/No Credit grading.
2. Students will be able to make this decision for eligible courses between December 24, 2020 and January 12, 2021. Once selected, the CR/NC option cannot be reversed. Any changes to the dates of this opt-in window will be communicated in a timely fashion.
3. If a student chooses to exercise this option for an eligible course, a passing letter grade (B+ through D-) will convert to ‘CR’ with credit for the class being awarded, while a failing grade (F) will convert to ‘NC’, with no credit awarded. Credit/No Credit grades will not impact the student’s GPA.
4. Courses taken for a letter grade will continue to be included in the semester and general GPA, while courses taken for a Credit/No Credit grade will be excluded, just as is the case with such courses taken at a student’s home institution.
5. If a student exercises the option of Credit/No Credit, the Credit (CR) grade will not negatively impact the student’s progress toward degree completion.
6. Students with Credit/No Credit grades will be able to transfer those courses across colleges within CUNY, per current CUNY policy.
7. The Fall 2020 CR/NC Policy shall apply to coursework completed on Permit and will not affect Board of Trustees Policy 1.14 – Policy on Coursework Completed on Permit.
8. Students placed on academic probation by their institution at the start of the Fall 2020 semester who choose Credit/No Credit grades shall not be penalized with academic dismissal based upon their grades earned this semester.
9. The Fall 2020 CR/NC Policy shall not affect the University standards of student retention and progress in accordance with Board of Trustees Policy 1.26.
10. Before choosing this grading option for one or more of their classes, students shall consult with their academic and financial aid advisors regarding potential impact to their financial aid, licensure requirements, and graduate school admissions.
11. Except for courses explicitly excluded by a College from application, the policy shall supersede and override all undergraduate and graduate program-level grading policies currently in effect at CUNY colleges and schools, including those related to required and elective courses within the major, minor, general education (Pathways), pre-requisite courses, honors courses, courses taken on permit and maximum number of credits that a student can earn with Credit/No Credit grades.
12. The grade glossary, attached to each transcript, will be updated to include a notation denoting that all Fall 2020 grades, including CR or NC, were earned during a major disruption to instruction as a result of the COVID-19 pandemic.
Courses Excluded from the CR/NC option for Fall 2020
Weissman School of Arts and Sciences
- All courses in the Graduate program in Mental Health Counseling are excluded.
- Graduate courses in Mathematics and Undergraduate courses at or above the 3000 level in Mathematics are excluded.
- Foundations of Mental Health Counseling 9811 NRA
- Clinical Instructions 9813 WTA
- Ethical and Legal Issues for Mental Health Counselors 9814 CTRA
- Psychosocial and Cultural Foundations of Counseling 9815 WTA
- Psychopathology 9819 BMWA
- Cognitive Behavioral Therapy 9821 NRA
- Theories of Counseling 9828 DMWA
- Mental Health Counseling Internship I 9830 BTRB
- Mental Health Counseling Internship I 9830 BTRA
- Research and Program Evaluation in Mental Health Counseling 9922 FPSY
- Elements of Calculus II 3006
- Calculus II 3010
- Calculus III 3020
- Elements of Calculus III 3030
- Multi-variable and Vector Calculus 3050
- Elementary Probability 3120
- Introductory Computer Concepts 3300
- Bridge to Higher Mathematics 4000
- Problem Solving Seminar 4005
- Proof Writing for Mathematical Analysis 4009
- Mathematical Analysis 4010
- Linear Algebra 4100
- Multivariate Probability Distributions 4119
- Mathematical Probability 4120
- Introduction to Stochastic Processes 4125
- Mathematics of Statistics 4130
- Combinatorics 4150
- Theory of Numbers 4200
- Algorithms, Computers and Programming II 4300
- Theory of Interest 4410
- Actuarial Mathematics I 4420
- Mathematics of Inferential Statistics 4430
- Introduction to Financial Mathematics 4500
- A Quantitative Introduction to Financial Instruments 9814
- Software Engineering for Finance 9815
- Fundamentals of Trading 9816
- Numerical Methods for Finance 9821
- Probability and Stochastic Processes for Finance I 9831
- Linear and Quadratic Optimization Techniques 9842
- Modeling and Market Making in Foreign Exchange 9866
- The Volatility Surface 9875
- Current Topics in Mathematical Finance 9881
- Time Series Analysis 9893
- Systemic Trading 9897
- Emerging Markets and Inflation Modeling 9886
Zicklin School of Business
- All required Zicklin Undergraduate business courses including Zicklin courses that are part of the pre-business core, business core courses, and the required courses in the BBA majors will be excluded.
- ALL GRADUATE AND EXECUTIVE COURSES ARE EXCLUDED.
- ACC 2101 Principles of Accounting
- ACC 2203 Principles of Managerial Accounting For Non-accounting Majors
- ACC 3000 Financial Accounting I
- ACC 3100 Financial Accounting II
- ACC 3200 Cost Accounting
- ACC 3202 Accounting Information Systems (for Accounting Majors)
- ACC 4100 Financial Accounting III
- ACC 5400 Principles of Auditing
- BPL 5100 Business Policy
- BUS 1011 Business Fundamentals: The Contemporary Business Landscape
- CIS 2200 Introduction to Information Systems and Technologies
- CIS 2300 Programming and Computational Thinking
- CIS 3100 Object Oriented Programming I
- CIS 3110 Object Oriented Programming with Java
- CIS 3120 Programming for Analytics
- CIS 3400 Database Management Systems
- CIS 3500 Networks and Telecommunications I
- CIS 3550 Cybersecurity
- CIS 3920/STA 3920 Data Mining for Business Analytics
- CIS 4350 Information Technology Audit
- CIS 4400 Data Warehousing for Analytics
- CIS 4800 Systems Analysis and Design
- CIS 5800 Information Technology Development and Project Management
- ECO 1001 Microeconomics
- ECO 1002 Macroeconomics
- ECO 3100 Intermediate Micro-Economics
- ECO 3200 Intermediate Macro-Economics
- ECO 4000 Statistical Analysis for Economics and Finance
- FIN 3000 Principles of Finance
- FIN 3610 Corporate Finance
- FIN 3710 Investment Analysis
- FIN 4610 Advanced Corporate Finance
- FIN 4710 Advanced Investment Analysis
- IBS 4200 Foreign Markets, Cultures, and Institutions
- IBS 5750 International Competitiveness
- LAW 1101 Fundamentals of Business Law
- MGT 3120 Fundamentals of Management
- MGT 3121 Service Operations Management
- MGT 3300 Management: A Behavioral Approach
- MGT 3500 Business Decision Models
- MGT 3710 Introduction to Supply Chain Management
- MGT 3730 Business Process Analysis
- MGT 3800 Management and Society
- MGT 3950 Developing an Entrepreneurial Mindset
- MGT 3951 Creating Entrepreneurial Opportunities
- MGT 3962 Family Enterprise Dynamics
- MGT 3971 Multicultural Entrepreneurial
- MGT 4400 Human Resource Management
- MGT 4500 Cases in Operations Management
- MGT 4551 Service Operations Strategy
- MGT 4880 Management of Multinational Corporations
- MGT 4952 Designing for Innovation
- MGT 4961 Entrepreneurial Experiences
- MGT 4962 Family Business Management
- MGT 4963 Entrepreneurial Start-ups
- MGT 5985 Entrepreneurship in the Wild
- MKT 3000 Marketing Foundations
- MKT 3400 International Business Principles
- MKT 3520 Advertising and Marketing Communications
- MKT 3600 Marketing Research
- MKT 3605 Consumer Behavior
- MKT 4123 Marketing Web Analytics and Intelligence
- MKT 4410 International Trade Operations
- MKT 4420 International Marketing Research and Management
- MKT 4555 Internet Marketing
- MKT 4561 Marketing Analytics
- MKT 5750 Marketing Strategy
- OPR 3450 Quantitative Decision Making for Business I
- QNT 2020 Foundations of Predictive Analytics and Decision Modeling
- RES 3000 Real Estate Law
- RES 3100 Real Estate Principles
- RES 3200 Real Estate Finance and Investment
- RES 3400 Real Estate Capital Markets
- RES 3900 Real Estate Development
- STA 2000 Business Statistics I
- STA 3000 Statistical Computing
- STA 3154 Business Statistics II
- STA 4155 Regression and Forecasting Models for Business Applications
- TAX 3300 Federal Income Taxation
- Graduate/Executive Courses Excluded from CR/NC
- All Zicklin graduate and executive courses are excluded
The following tables list the grades that are used at Baruch College and show how they are calculated to determine the grade point average (GPA), or index.
See explanation of how to compute your GPA
Letter Grades and Grade Point Equivalents
Baruch uses a 4.0 grade point average scale to determine a student’s academic standing.
Grade | Grade Point Equivalent | Percentage Equivalent |
|---|---|---|
| A | 4.0 | 93.0-100.0 |
| A- | 3.7 | 90.0-92.9 |
| B+ | 3.3 | 87.1-89.9 |
| B | 3.0 | 83.0-87.0 |
| B- | 2.7 | 80.0-82.9 |
| C+ | 2.3 | 77.1-79.9 |
| C | 2.0 | 73.0-77.0 |
| C- | 1.7 | 70.0-72.9 |
| D+ | 1.3 | 67.1-69.9 |
| D | 1.0 | 60.0-67.0 |
| F | 0.0 | below 60.0 |
Explanation
Excellent (A, A-).
Very good (B+, B, B-).
Average (C+, C).
Poor (C-, D+, D).
Failure (F).
Additional Grades
The following grades are also used on the transcript. A definition of each of these grades appears below.
| INC | Given only when the student has earned an average term grade of 50 percent or better for work already completed, but the term’s work is incomplete and the instructor agrees that the reason for the lateness is valid. Completed assignments must be handed in to the instructor so that the grade can be resolved by the end of the final examination period of the subsequent semester, or it becomes a grade of FIN, the equivalent of F. |
| P | Pass/fail option is only allowed to students in the Weissman School of Arts and Sciences–read Pass/Fail option in the Undergraduate Guide to Academic Policies and Procedures. This grade is also used when a student completes a non-credit bearing course and certain internship courses. The P grade is not included in GPA calculation. |
| W | Assigned to students who officially drop a course after the refund period and prior to the completion of two-thirds of the semester. |
| R | Course must be repeated until minimum proficiency is attained. |
| AUD | Only for nondegree students (an auditor or listener in the class). No credit granted. |
| CR | Credit earned (transfer credits, military service, or exemption credit). Grades in these courses are not included in computation of the scholastic index or in computing class standing. |
| Y | An intermediate grade assigned after the first of a multi-semester Honors sequence course to signify work in progress. The Y grade is not included in calculating the grade point average. Each Y grade is replaced by the earned letter grade when the sequence has been completed. |
| PEN | Pending. Assigned when a student's coursework is under review by an academic committee for possible infraction of academic integrity standards. |
| WA | Administrative withdrawal, given when a student fails to document compliance with New York State Public Health Law 2165 regarding measles, mumps, and rubella within 30 days of the start of the semester (45 days for international students). Non-punitive. |
| WD | Assigned to students who officially drop a course and incur tuition liability. Non-punitive and does not appear on transcript. |
| WN | Assigned to students who never attended and did not officially withdraw. Non-punitive. |
| WU | Withdrew unofficially. Student attended at least one (1) class session. A WU may not be assigned if a student has taken the final examination. |