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Actuarial and Data Science Major

Description

In our technology-charged world, the need for data science is increasing exponentially. Everyday, more companies need employees to sort, clean, analyze, and interpret large data sets. The Actuarial and Data Science major trains students to think statistically and analytically. Graduates leave the program with the ability to perform the duties of a data scientist or data analyst and are incredibly marketable. Our single major equips students with the core knowledge in statistical computing, mathematics modeling, and statistical analysis. As students in the major near graduation, they can decide whether to complete the required coursework and initial exam preparation to become an Associate of the Society of Actuaries or whether to choose electives focused on furthering skills in data science. The Actuarial and Data Science major is recommended for a student who want to pursue a career and/or graduate studies in data science or statistics.

More details concerning the Actuarial and Data Science major, including sample programs of study and information on advisement, student awards, computing facilities, research opportunities, competitions, and the Mathematics Club, can be found on the department website.

Admission to the Program

Any undergraduate student can declare the major in Actuarial and Data Science. Students who have successfully completed a calculus course in high school may qualify for college credit for MTH 201 Calculus I. Qualifying students should contact the department if they have questions before they register for their first calculus course at Brockport.

Program Requirements

Students in the mathematics major pursue either a Bachelor of Arts or a Bachelor of Science degree, and must complete the corresponding degree’s requirements. Because of the sequential nature of the study of mathematics, students should meet with the department’s advisement coordinator as soon as possible to declare the major, be assigned a departmental advisor, and plan an academic program.

General Education Requirements Outside of Major (27* credits)

Major program Requirements (48 credits)

  • MTH 201 Calculus I
  • MTH 202 Calculus II
  • MTH 203 Calculus III
  • MTH 255 Differential Equations
  • MTH 281 Discrete Mathematics I
  • MTH 324 Linear Algebra
  • MTH 457 Real Analysis
  • MTH 346 Probability and Statistics I
  • MTH 446 Probability and Statistics II
  • MTH 441 Statistical Methods
  • MTH 447 Time Series
  • MTH 347 R Programming for Statistics

Mathematics Elective Course (3 credits)

  • MTH 492 Mathematics Internship or one mathematics course numbered MTH 400 or higher by advisement.

Prerequisite Requirements (0 – 11 credits)

* Denotes courses that meet both major and general education requirements

Electives (14-25 credits)

Total Credits (120 credits)

Additional Degree Requirements

  1. Actuarial and Data Science majors are required to pass the following four courses with a minimum grade of “C”: MTH 201 Calculus I, MTH 202 Calculus II, MTH 281 Discrete Mathematics I, and MTH 324 Linear Algebra
  2. At least fifteen major credits must be taken at Brockport. At least nine math credits at the 400 level must be completed at Brockport.
  3. If a Brockport student wishes to fill some requirement of the major through coursework at an institution other than Brockport, the student must first obtain the approval of the department chairperson.
  4. A minimum overall GPA of 2.0 in all required major courses (Major Departmental Requirements).
  5. Completion of all college-wide degree requirements

Student Learning Outcomes

Upon completion of the program,

  1. Students are expected to carry out the creative and explorative processes of mathematics, including being able to interpret and construct rigorous proofs.
  2. Students are expected to use mathematics to model real world problems and utilize technology as appropriate.
  3. Students are expected to demonstrate an understanding of the importance of active engagement and civic responsibility beyond the classroom through knowledge and real-world experience gained in the academic field of mathematics.
  4. Students are expected to develop relevant programmingabilities and execute statistical analysis of data with standard statistical software.