Bachelor of Science – Data Science
Access the complete curriculum for the BS, Data Science, from the Mathematics Department section of the Daemen catalog.
Following is a suggested course sequence for your program. Courses may be offered as indicated and/or at other times. Consult your Advisor for further direction and planning.
Course Loads
Maximum of 18 credits allowed for all semesters.
Year 1
LEARNING COMMUNITIES are generally completed in the first year (LC1 in the 1st semester; LC2 in the 2nd semester)
First Semester
- MTH144 Calculus & Analytic Geometry I (3)
- CSC201 Introduction to Computer Science I (3)
- CMP101 Composition (3)
- IND101 Critical Relationship (3)
- Core Elective (3)
- Total Credits (15)
Second Semester
- CSC212 Introduction to Computer Science II (3)
- MTH264 Discrete Mathematics (3)
- Core Electives (6)
- Specialization course (3)
- Total Credits (15)
Year 2
First Semester
- MTH246 Linear Algebra (3)
- MTH324 Applied Statistics I/Lab (4/0)
- Core Electives (3 or 6)
- Specialization course (3)
- Total Credits (13-16)
Second Semester
- MTH325 Applied Statistics II/Lab (4/0)
- CSC350 Data Structure (3)
- PSC125 Intro to Public Policy (3)
- Core Electives (3)
- Specialization course (3)
- Total Credits (16)
Year 3
First Semester
- MTH400 Data Exploration (3)
- CORE Electives (6)
- Free Electives or Specialization course (3)
- Specialization course (3)
- Total Credits (15)
Second Semester
- CSC400 Data Mining (3)
- CMP301 Professional Writing (3)
- PSC222 Polling and Public Opinion (3)
- Core Electives (3)
- Core Electives or Specialization course (3)
- Total Credits (15)
Year 4
First Semester
- CSC401 Machine Learning (3)
- MTH459 Introduction to Mathematical Research (1)
- Core Electives (3 or 6)
- Free Electives (3)
- Specialization course (3 or 6)
- Total Credits (13-16)
Second Semester
- MTH460 Capstone (3)
- CSC/MTH 402 Internship (3)
- Core Electives (3 or 6)
- Free Electives (3)
- Total Credits (12-15)