PlusOne with MS in Data Science Program Details
PlusOne with MS in Data Science Program Details
PlusOne with MS in Data Science Program Details
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
Undergraduate Course Requirement
- CS 3000 Algorithms & Data
- DS 3000 Foundations of Data Science
- DS 4400 Machine Learning and Data Mining 1
- DS 4420 Machine Learning and Data Mining 2
Graduate Replacement
- CS 5800 Algorithms
- DS 5110 Introduction to Data Management and Processing
- DS 5220 Supervised Machine Learning and Learning Theory
- DS 5230 Unsupervised Machine Learning and Learning Theory
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
Undergraduate Course Requirement
- CS 3000 Algorithms & Data
- DS 3000 Foundations of Data Science
- DS 4400 Machine Learning and Data Mining 1
- DS 4420 Machine Learning and Data Mining 2
Graduate Replacement
- CS 5800 Algorithms
- DS 5110 Introduction to Data Management and Processing
- DS 5220 Supervised Machine Learning and Learning Theory
- DS 5230 Unsupervised Machine Learning and Learning Theory
Graduate replacements for undergraduate courses
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
| Undergraduate Course Requirement | Graduate Replacement |
| CS 3000 Algorithms & Data | CS 5800 Algorithms |
| DS 3000 Foundations of Data Science | DS 5110 Introduction to Data Management and Processing |
| DS 4400 Machine Learning and Data Mining 1 | DS 5220 Supervised Machine Learning and Learning Theory |
| DS 4420 Machine Learning and Data Mining 2 | DS 5230 Unsupervised Machine Learning and Learning Theory |
Admission and grade point average (GPA) requirements
Eligible students: Students must be in the data science major or a data science combined major to be in this Khoury PlusOne program. This includes students in a data science combined major housed in a different college (other than Khoury).
Interested students should meet with their advisor no later than the third semester to discuss how the PlusOne pathway will fit into their academic plan, and when they plan to complete their first graduate-level course for admissions purposes.
Admission requirements
- Minimum 3.0 GPA cumulative and within the major required for PlusOne admission
- Successful completion of a graduate-level Khoury course
- First-year students are not permitted to take their first graduate-level course during the Summer. Please plan to take your first graduate-level course in the Fall semester of your second year, at the earliest.
- Minimum 3.0 GPA required to request enrollment in graduate courses.
- Submission of the online PlusOne Application form
- Academic Advisors will share the link to the online application form with eligible students.
- Application form should only be submitted after the above requirements are met.
Progression
Admission into the PlusOne program does not guarantee admission into the master’s program upon graduation at the bachelor’s level. In order to continue in the PlusOne program, students must maintain a minimum 3.0 GPA and earn a cumulative 3.0 GPA in all graduate-level Khoury courses
Students admitted into the PlusOne program maintain undergraduate-level standing and must continue to request admission into graduate courses each term. Undergraduate enrollment in graduate coursework is limited to one graduate course per semester, with a limit of four graduate courses total during the undergraduate degree (a withdrawal will be counted as one of the four courses). Placement is not guaranteed.
Additional program notes
- Students in the program should be in regular contact with their undergraduate academic advisor to ensure proper planning.
- Students must complete all four listed master’s courses (refer to above table) while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the four courses listed are not eligible for the PlusOne degree in Data Science.
- Students entering a graduate program via the PlusOne pathway are not eligible for the Double Husky Scholarship. If you have additional questions related to tuition or scholarship eligibility, please reach out to Student Financial Services.
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
Undergraduate Course Requirement
- CS 3000 Algorithms & Data
- DS 3000 Foundations of Data Science
- DS 4400 Machine Learning and Data Mining 1
- DS 4420 Machine Learning and Data Mining 2
Graduate Replacement
- CS 5800 Algorithms
- DS 5110 Introduction to Data Management and Processing
- DS 5220 Supervised Machine Learning and Learning Theory
- DS 5230 Unsupervised Machine Learning and Learning Theory
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
Undergraduate Course Requirement
- CS 3000 Algorithms & Data
- DS 3000 Foundations of Data Science
- DS 4400 Machine Learning and Data Mining 1
- DS 4420 Machine Learning and Data Mining 2
Graduate Replacement
- CS 5800 Algorithms
- DS 5110 Introduction to Data Management and Processing
- DS 5220 Supervised Machine Learning and Learning Theory
- DS 5230 Unsupervised Machine Learning and Learning Theory
Graduate replacements for undergraduate courses
Students must complete all four listed master’s courses while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the below courses are not eligible for the PlusOne degree in Data Science.
| Undergraduate Course Requirement | Graduate Replacement |
| CS 3000 Algorithms & Data | CS 5800 Algorithms |
| DS 3000 Foundations of Data Science | DS 5110 Introduction to Data Management and Processing |
| DS 4400 Machine Learning and Data Mining 1 | DS 5220 Supervised Machine Learning and Learning Theory |
| DS 4420 Machine Learning and Data Mining 2 | DS 5230 Unsupervised Machine Learning and Learning Theory |
Admission and grade point average (GPA) requirements
Eligible students: Students must be in the data science major or a data science combined major to be in this Khoury PlusOne program. This includes students in a data science combined major housed in a different college (other than Khoury).
Interested students should meet with their advisor no later than the third semester to discuss how the PlusOne pathway will fit into their academic plan, and when they plan to complete their first graduate-level course for admissions purposes.
Admission requirements
- Minimum 3.0 GPA cumulative and within the major required for PlusOne admission
- Successful completion of a graduate-level Khoury course
- First-year students are not permitted to take their first graduate-level course during the Summer. Please plan to take your first graduate-level course in the Fall semester of your second year, at the earliest.
- Minimum 3.0 GPA required to request enrollment in graduate courses.
- Submission of the online PlusOne Application form
- Academic Advisors will share the link to the online application form with eligible students.
- Application form should only be submitted after the above requirements are met.
Progression
Admission into the PlusOne program does not guarantee admission into the master’s program upon graduation at the bachelor’s level. In order to continue in the PlusOne program, students must maintain a minimum 3.0 GPA and earn a cumulative 3.0 GPA in all graduate-level Khoury courses
Students admitted into the PlusOne program maintain undergraduate-level standing and must continue to request admission into graduate courses each term. Undergraduate enrollment in graduate coursework is limited to one graduate course per semester, with a limit of four graduate courses total during the undergraduate degree (a withdrawal will be counted as one of the four courses). Placement is not guaranteed.
Additional program notes
- Students in the program should be in regular contact with their undergraduate academic advisor to ensure proper planning.
- Students must complete all four listed master’s courses (refer to above table) while in their undergraduate program. All four will be applied to both the undergraduate and graduate degree programs. Students who have already taken the undergraduate version of any of the four courses listed are not eligible for the PlusOne degree in Data Science.
- Students entering a graduate program via the PlusOne pathway are not eligible for the Double Husky Scholarship. If you have additional questions related to tuition or scholarship eligibility, please reach out to Student Financial Services.
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
© 2024 Northeastern University
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
Khoury Social
Contact Khoury
440 Huntington Avenue, 202 West Village H
Boston, MA 02115
617.373.2462
TTY: 617.373.3768
x
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...
x
About
Programs
Experiential Learning
Research
Life at Khoury
Information for...