DATA SCIENCE CORE

Take the following courses:

CS-110  Computer Science I

3 CreditsN,CTGES,CTGISRecommended programming experience or IT110 or IT100, IT111 or IM110 or MA103 but not necessary. 

MA-116 Discrete Structures

4 CreditsN, QPre-requisite high school algebra.

DS-110  Intro to Data Science

3 CreditsN 

MA-130 Calculus I

4 CreditsN, QM

MA-160 Linear Algebra

3 CreditsN, QMPrerequisites: MA130.

CS-370  Database Management Systems

3 CreditsN,CTGISPrerequisites: CS110. 

DS-210  Data Acquisition

3 CreditsNPRE-REQ: CS 110 and DS 110. 

IM-242  Info Visualization

3 CreditsN,CTDH,CTGESPrerequisite: IT 110, IT 111, IM 110, DS 110, or CS 110 or permission. 

MA-321 Multivariate Statistics

3 CreditsN, QSPrerequisites: MA-130 or MA 160; an introductory statistics course from the following list: BI-305, EB-211, ESS-230, ESS-309, MA-205, MA-220, PY-366, or SW-215

MA-325 Statistical Consulting

3 CreditsN, QS, CW, SW-LEPrerequisite: Take one course from this list: BI-305, EB-211, ESS-230, ESS-309, MA-205, MA-220, PY-361, PY-366, SW-215. Also take FYC-101 or EN-110 or EN-109.

STATISTICS CORE

Take one of the following courses:

MA-220 Introduction to Probability & Statistics

4 CreditsN, QS, CTGESPrerequisite: MA130

MA-205 Elementary Statistics

4 CreditsN, QS, WK-SPPrerequisite: FYC-101 or EN-110 or EN-109

EB-211  Business Statistics

3 Credits QS,S

BI-305 Biostatistics

4 CreditsN, QS, CTGESPrerequisites: BI106 or ESS100

ESS-230 Environmetrics

3 CreditsN, QS, CTGES, CTGISPrerequisites: Sophomore standing and permission of the instructor.

ESS-309 Econometrics

2 CreditsN, QPrerequisites: Introductory economics course.

PY-366 Research Methods & Statistics

4 Credits Prerequisite: PY-101

SW-215  Integrated Research Methods & Stats II

3 CreditsS 

ELECTIVES

Take at least 8 credits from the following courses:

BI-314 Talk Nerdy to Me

3 Credits

BI-405  Bioinformatics Fundamentals

4 CreditsN,CTGESPre-req: BI-101 or BI-105, BI-102 or BI-106, CH-142, CH-143, CH-144, CH-145

CS-315  Algorithms and Analysis

4 CreditsCW,NPrerequisites: CS240 and MA116. 

CS-341 Scientific Computing

3 CreditsNPre-Req: CS-110

DS-352  Machine Learning

3 CreditsNPrerequisite: CS-110, DS-110, and an approved statistics course from this list: MA-205, MA-220, BI-305, PY-214, PY-260, PY-366, or EB- 211. 

DS-375  Big Data

3 CreditsNPrerequisites: DS 110 Intro to Data Science and CS 370 Database Management Systems 

DS-485 Data Science Research

1-5 Credits

ESS-330 Geographical Information Systems

4 CreditsCTGISNote: A special course fee is assessed. Prerequisite: ESS100.

ESS-335 Quantitative Ecology

4 CreditsQS(Lec/Lab; 4 cr hr; Spring years; pre-req ESS 110, ESS 230-Environmetrics, or consent)

IT-307  Project Management

4 CreditsS,CW,CS,SW-LEPrerequisite: IT-210. Pre-or co-requisite: FYC-101.

IT-308  Innovations for Industry I

1 CreditsSPrerequisites: IT210 and Jr or Sr standing or by permission of the instructor. Corequisite: IT307. Note: This course will have appointed class times for projects other than the times listed on the schedule. 

MA-341 Scientific Computing

3 CreditsNPre-Req: CS-110

COGNATE AREA

Take 12 credits, 3 of which must be at the 300 level or higher. Cognate area should be a coherent set of courses outside the areas of Data Science, Math and Computer Science.

CAPSTONE

Take the following course:

DS-420 Data Science Capstone

1 CreditPrerequisite: DS-110, CS-110, and one course from this list: MA-220 or MA-205 or EB-211 or BI-305 or ESS-230 or ESS-309 or PY-361 or SW-215.

What should you expect?

Students in the data science program will be prepared for jobs dealing with data in whatever fields they are interested. With an emphasis on practical skills for the organization, analysis, visualization, and presentation of actionable information gathered from widely varied data sources, data science will work with students on real world data. Students will take a variety of courses in data science, computer science, statistics, and in a cognate area of their choice.

As part of the POE in data science you can participate in internships at locations such as Mutual Benefit Corporation or Juniata’s Office of Advancement.

What your four years in the Data Science Program at Juniata College might look like:

First Year

Take Introduction to Data Science (DS 110), Discrete Structures (MA 116), Computer Science 1 (CS 110), and Calculus (MA 130). Begin exploring other fields such as business, biology, environmental science, psychology, or history as a possible area to apply your data analysis skills, a cognate area.

Sophomore Year

Take Data Acquisition (DS 210), Linear Algebra (MA 160), and Introduction to Probability and Statistics (MA 220). Start taking courses in chosen cognate area.

Junior Year

Take upper level courses in data science, computer science, and statistics. Continue taking cognate area courses. Consider studying abroad at the Mathematical Sciences Semesters at Guanjuato, Mexico. Look into internships Participate in DataFest.

Senior Year

Take Data Science Consulting (DS 325) to have capstone in Data Science of a real life data analysis project. Continue taking upper levels and finish your cognate area courses.
Complete an internship. Participate in Data Fest.

POE Credit Total = 56-60

Students must complete at least 18 credits at the 300/400-level.  Any course exception must be approved by the advisor and/or department chair.