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Program checklist · B.S.

Data Science and Analytics–

SUNY College of Technology at Canton · Canton, NY

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
B.S.
Credential class
ceterms:BachelorDegree
Catalog edition
2026-2027
Checklist type
degree-program
Description
B.S. Te Bachelor of Science in Data Science • Students must be qualifed to enter at SEMESTER V and Analytics is an interdisciplinary pro- least MATH 106 Intermediate Algebra DATA 320 Data Security and Privacy.................3 DATA 371 Methods of Data Representation ......3 gram that combines data science with data and Composition and the Spoken MATH 351 Discrete Mathematics .......................3 analytics, mathematics, statistics, artifcial Word (ENGL 101). General Elective................................3 intelligence and computer science. Students • Computer or technology courses are Liberal Arts Elective..........................3 will hone analytical and hands-on skills to strongly recommended. 15 recognize value that can be derived from SEMESTER VI • Transfers into this program must have a DATA 415 Ethics in Data Science ......................3 data collection to data analysis. Experiential 2.0 GPA for admission. Students from DATA 321 Big Data Fundamentals ....................3 learning is a core component of the program other institutions and majors may have General Elective................................3 applying programming languages, predic- to complete certain bridge courses that Liberal Arts Elective..........................3 tive and prescriptive statistical models, data U/L Liberal Arts Elective .................3 could extend their graduation date. mining, and machine learning to data-based 15 decision making. Special emphasis is placed Students who do not meet necessary SEMESTER VII on ethics in data science, data anonymiza- prerequisites may be admitted to the Col- DATA 420 Advanced Data Mining and Machine tion, security and privacy, with an applied lege. However, completing the program may Learning ...........................................3 require more than four years. DATA 421 Deep-Learning Fundamentals...........3 focus on making mathematically valid and U/L Liberal Arts Elective ..................3 ethically sound decisions. Subjects from U/L Liberal Arts Elective ..................3 computer logic, statistical methods, discrete Program Requirements 12 mathematics, data visualization, machine SEMESTER VIII learning, data mining, R-programming, big (CURRICULUM 3262)) DATA 485 Data Practice OR SEMESTER I CREDITS U/L Program Elective2 data and deep-learning are covered. Gradu-
Identifiers
IPEDS UNITID
196015
CourseShelf checklist
CK_196015_92818a6b
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Requirements

5 items
  1. CYBR 153
    Computer Logic & Algorithms
    As published: “Computer Logic & Algorithms.........3”
    3
  2. DATA 155
    Survey of Data Science
    As published: “Survey of Data Science .....................3”
    3
  3. ENGL 101
    Composition & Spoken Word
    As published: “Composition and the Spoken Word”
    3
  4. Mathematics Elective1 (GER 4) ...
    Not resolved to a course
    3-4
  5. Natural Science Elective (GER 5) .
    Not resolved to a course
    3-4

SEMESTER II

2 items
  1. CYBR 181
    Programming Fundamentals
    As published: “Programming Fundamentals.............4”
    4
  2. DATA 230
    Applied Data Science - R Prog
    As published: “Applied Data Science”
    3

R-Programming.............................3

2 items
  1. MATH 141
    Statistics
    As published: “Statistics (GER 4).............................3”
  2. MATH 121
    College Algebra*
    As published: “or MATH 123.….. College Algebra or”
    3-4

SEMESTER III

3 items
  1. CYBR 216
    Database Fundamentals
    As published: “Database Fundamentals....................3”
    3
  2. CYBR 172
    Computer Fundamentals
    As published: “Computer Fundamentals..................3”
    3
  3. MATH 161
    Calculus
    As published: “Calculus I .........................................”
    4

SEMESTER IV

2 items
  1. DATA 240
    AI Fundamentals
    As published: “AI Fundamentals (WI)** ..................3”
  2. DATA 315
    Data Mining & Machine Learning
    As published: “Data Mining & Machine Learning ...3”
    3

SEMESTER V

3 items
  1. DATA 320
    Data Security and Privacy
    As published: “Data Security and Privacy.................3”
    3
  2. DATA 371
    Methods of Data Representation
    As published: “Methods of Data Representation ......3”
    3
  3. MATH 351
    Discrete Mathematics
    As published: “Discrete Mathematics .......................3”
    3

SEMESTER VI

2 items
  1. DATA 415
    Ethics in Data Science
    As published: “Ethics in Data Science ......................3”
    3
  2. DATA 321
    Big Data Fundamentals
    As published: “Big Data Fundamentals ....................3”
    3

SEMESTER VII

2 items
  1. DATA 420
    Advanced Data Mining &
    As published: “Advanced Data Mining and Machine”
  2. DATA 421
    Deep Learning
    As published: “Deep-Learning Fundamentals...........3”
    3

SEMESTER VIII

1 item
  1. DATA 485
    3
Source. SUNY College of Technology at Canton, catalog 2026-2027 — https://www.canton.edu/media/pdf/catalog.pdf. Captured page NY/196015-canton.edu/pdf/196015-2026-2027-canton.edu.pdf#page=65. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.