Nov 23, 2024

2024-2025 Undergraduate Catalog

Data Science And Applied Statistics (B.S.D.S.A.S.)

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Program: B.S.D.S.A.S.
Department of Mathematical Sciences
College of Science

260-481-6821 ~ Kettler Hall 200

Programs leading to the Bachelor of Science in Data Science and Applied Statistics help you prepare for employment in business and industry, or study for advanced degrees.

Student Learning Outcomes:
Students who complete the DSAS degree should have sufficient preparation to extract meaning from and interpret real world data and to effectively communicate the results. To achieve the objectives noted above, this program emphasizes:

Data preparation and management
Programming skills
Statistical thinking and learning
Model building and assessment
The underlying mathematical foundations associated with the areas listed above

Program Delivery:

This program is available on-campus

Declaring this Major:

Declare this major within the Department of Mathematical Sciences

General Requirements:

College Scorecard

The U.S. Department of Education has created a scorecard for each university and its programs. The scorecard shows data for the university such as graduation rate, average annual cost, and median earnings. Then, when certain minimum standards have been met, data are available for a specific program. That data could include median earnings, median total debt, and number of graduates. The link below will help you learn more:

https://collegescorecard.ed.gov/school/?151102-Purdue-University-Fort-Wayne&fos_code=3070&fos_credential=3

Program Requirements:

Data Science and Applied Statistics 4-Yr. Plan:

A GPA of 2.00 or higher for all major department courses with at most one passing grade less than 1.50 in courses used to fulfill the major requirements.
Of the mathematics courses numbered below 26100, only 16500, 16600, and 17500 apply toward the major.
Of the STAT courses numbered below 49000, only STAT 19000, 24200, 29000, and 39000 apply toward the major.
New MA courses approved and added to the curriculum in future Catalogs may satisfy major requirements.
New STAT courses approved and added to the curriculum in future Catalogs may satisfy major requirements.
Transfer students with 30+ credits are not required to take the Freshman Success seminar.

To earn a Bachelor’s Degree in Data Science and Applied Statistics, you must fulfill the following requirements in addition to the General Requirements noted above:

General Education Requirements: Credits 33

Click on the Purdue Fort Wayne General Education Requirements link above for details.
Some majors may require particular General Education courses as specified in their program description. Up to six credits of approved General Education courses satisfying requirements in Areas A and B, and three credits satisfying requirements in Area C, may originate in the major. A grade of C- or higher in each course, and an overall GPA of 2.0 is required to satisfy the Purdue Fort Wayne General Education Requirements.

Supporting Courses:

English Writing and Speaking: Credits 6

ENGL 23301 (or a college-approved equivalent: ENGL 20201, HIST 21700, ILCS 30000, POL 20700, or WOST 23000). This course is in addition to the General Education writing course (ENGL 13100 or equivalent).
COM 11400 (or the college-approved equivalent: HIST 12500).

Both courses require a grade of C- or better

Language: Credits 6

Two courses at the first-year level in a single International Language or in American Sign Language (or demonstrate equivalent proficiency).

Note: if you begin these courses at PFW at the second-semester level or higher, you and your advisor are eligible to apply for special course credits after successful completion of the course into which you placed. Non-native English speaking students and those with other language transfer credits should contact the College’s Student Success Center.

Core and Concentration (Major) Courses

Student Success Seminar: Credit 1

MA 10500 - Freshman Success Seminar Cr. 1.

Basic Mathematics Courses: Credits 15

MA 16500 - Analytic Geometry And Calculus I Cr. 4.
MA 16600 - Analytic Geometry And Calculus II Cr. 4.
MA 26100 - Multivariate Calculus Cr. 4.
MA 35100 - Elementary Linear Algebra Cr. 3.

Basic Computing Courses: Credits 12

IST 16000 - Foundation And Role Of Information Systems Cr. 3.
IST 27000 - Data And Information Management Cr. 3.
Choice of Python: Credits 3
CS 29200 - Intermediate Topics In Computer Science Cr. 2-3. taken as: Python Programming for Data Analytics Cr. 3.
Or the following sequence:
STAT 19000 - Topics In Statistics For Undergraduates Cr. 1.00 to 5.00. taken as: Data Mine I with Python Cr. 1.
STAT 29000 - Topics In Statistics For Undergraduates Cr. 1-5. taken as: Data Mine II with Python Cr. 1.
STAT 39000 - Tpcs In Stat For U/G Cr. 1-5. taken as: Data Mine III with Python Cr. 1.
Choose one of the following: Credits 3
STAT 24200 - Introduction To Data Science Cr. 3.
STAT 49000 - Topics In Statistics For Undergraduates Cr. 1-5. taken as: Introduction to Statistical Computing with R Cr. 3.

Basic Statistics Courses: Credits 18

STAT 51100 - Statistical Methods Cr. 3.
STAT 51200 - Applied Regression Analysis Cr. 3.
STAT 51600 - Basic Probability And Applications Cr. 3.
STAT 51800 - Introduction To Statistical Learning Cr. 3.
Choose one of the following:
STAT 49000 - Topics In Statistics For Undergraduates Cr. 1-5. taken as: Multivariate Stat. Analysis Cr. 3.
STAT 52400 - Applied Multivariate Analysis Cr. 3.

Statistics and Computer Science Elective Courses: Credits 9

Select three courses from the following list:

CS 36500 - Advanced Database Systems Cr. 3.
CS 45700 - Introduction To Data Mining Cr. 3.
STAT 43200 - Introduction to Stochastic Processes Cr. 3.
STAT 51400 - Design Of Experiments Cr. 3.
STAT 52000 - Time Series And Applications Cr. 3.
If interested in machine learning, select one of the following:
CS 57600 - Machine Learning Cr. 3.
ECE 44901 - Machine Learning Cr. 3.

Capstone Course: Credits 3

Students should complete a data analysis project. In addition to emphasizing the application of statistical methods, the course should provide students ample opportunity to collaborate as part of a team and to communicate their findings through written reports and oral presentation.

STAT 53100 - Data Analysis Cr. 3.
or

Science Courses: Credits 11

Choose three science courses under the following subject codes. Two of the courses chosen must include a lab:

ANTH 20001 - Bioanthropology Cr. 3.
ASTR (Astronomy)
BIOL (Biology)
CHM (Chemistry) Note: Credit given for CHM 11100 or CHM 11500 but not both
GEOG (Geography)
EAPS (Earth, Atmospheric, and Planetary Sciences)
NUTR 30300 - Essentials Of Nutrition Cr. 3.
PHYS (Physics)

General Electives

Sufficient additional credits to bring the total to 120.

Optional but Recommended course - for details, please see your advisor.

STAT 39000 - Tpcs In Stat For U/G Cr. 1-5. taken as: Data Science Ethics Cr. 3.

Total Credits: 120

Student Responsibility

You are responsible for ensuring that you satisfy all graduation requirements specified for each selected program. Thus, it is essential that you develop a thorough understanding of the required courses, academic policies, and procedures governing your academic career. If you cannot complete all program requirements by your stated graduation date but fail to remove those from your plan of study, the Registrar’s Office in consultation with your academic advisor will remove unmet pursuits from your plan of study. Changing curricular records during the graduation term of application may affect state or federal financial aid awards. All requests for exceptions to specific requirements must be made in writing and may be granted only by written approval from the appropriate chair or dean.