Data Science Major, Bachelor of Science (BS)
This is an interdisciplinary degree program offered jointly between the Department of Mathematics and the Department of Computer Science & Electrical Engineering. The Department of Mathematics is responsible for the advising of majors declared in the program. The program is built on the foundation of courses in mathematics, statistics, and computer science with emphasis on skills in analysis and mining of data exhibiting the characteristics of high volume, velocity and variety, and model building and computational skills applicable for reducing and managing large data sets residing in the cloud.
| Required Computer Science Courses | ||
| CSCD 210 | PROGRAMMING PRINCIPLES I | 5 |
| CSCD 211 | PROGRAMMING PRINCIPLES II | 5 |
| CSCD 300 | DATA STRUCTURES | 5 |
| CSCD 320 | ALGORITHMS | 5 |
| CSCD 327 | RELATIONAL DATABASE SYSTEMS | 4 |
| Computer Science Elective-choose two from the following: | 8 | |
| DATA MINING | ||
| BIG DATA ANALYTICS | ||
| MACHINE LEARNING | ||
| DEEP LEARNING | ||
| Required Mathematic Courses | ||
| MATH/HONS 161 | CALCULUS I | 5 |
| MATH 162 | CALCULUS II | 5 |
| MATH 163 | CALCULUS III | 5 |
| MATH 225 | FOUNDATIONS OF MATHEMATICS | 5 |
| or MATH 301 | DISCRETE MATHEMATICS | |
| MATH 231 | LINEAR ALGEBRA | 5 |
| MATH 241 | CALCULUS IV | 5 |
| MATH 385 | PROBABILITY AND STATISTICAL INFERENCE I | 5 |
| MATH 443 | NUMERICAL METHODS | 5 |
| MATH 485 | PROBABILITY AND STATISTICAL INFERENCE II | 5 |
| MATH 486 | PROBABILITY AND STATISTICAL INFERENCE III | 5 |
| Required Capstone | ||
| MATH 491 | SENIOR THESIS | 5 |
| Total Credits | 87 | |
Plan of Study
The following plan of study is for a student with zero credits. Individual students may have different factors such as: credit through transfer work, Advanced Placement, Running Start, or any other type of college-level coursework that requires an individual plan.
Courses may be offered in different terms and not all courses are offered every term, checking the academic schedule is paramount in keeping an individual plan current. There may be some courses that have required prerequisites not listed in the plan, review the course descriptions for information. Students should connect with an advisor to ensure they are on track to graduate.
All Undergraduate students are required to meet the Undergraduate Degree Requirements.
| First Year | |||||
|---|---|---|---|---|---|
| Fall Quarter | Credits | Winter Quarter | Credits | Spring Quarter | Credits |
| ENGL 101 | 5 | ENGL 201 | 5 | MATH 161 | 5 |
| MATH 141 | 5 | MATH 142 | 5 | Humanities & Arts BACR 21 | 5 |
| Humanities & Arts BACR 11 | 5 | Social Science BACR 11 | 5 | Natural Science BACR 11 | 5 |
| 15 | 15 | 15 | |||
| Second Year | |||||
| Fall Quarter | Credits | Winter Quarter | Credits | Spring Quarter | Credits |
| CSCD 110 | 5 | CSCD 210 | 5 | CSCD 211 | 5 |
| MATH 162 | 5 | MATH 163 | 5 | MATH 241 | 5 |
| MATH 231 | 5 | MATH 225 or 301 | 5 | Social Science BACR 21 | 5 |
| 15 | 15 | 15 | |||
| Third Year | |||||
| Fall Quarter | Credits | Winter Quarter | Credits | Spring Quarter | Credits |
| CSCD 300 | 5 | CSCD 320 | 5 | CSCD 327 | 4 |
| MATH 385 | 5 | MATH 485 | 5 | MATH 486 | 5 |
| Natural Science BACR 21 | 5 | Global Studies - graduation requirement1 | 5 | Diversity - graduation requirement1 | 5 |
| Elective - certificate, minor, or general elective | 1 | ||||
| 15 | 15 | 15 | |||
| Fourth Year | |||||
| Fall Quarter | Credits | Winter Quarter | Credits | Spring Quarter | Credits |
| Computer Science Elective2 | 4 | Computer Science Elective2 | 4 | MATH 443 | 5 |
| Elective - certificate, minor, or general elective | 5 | Elective - certificate, minor, or general elective | 5 | MATH 491 (Senior Capstone - graduation requirement) | 5 |
| Elective - certificate, minor, or general elective | 5 | Elective - certificate, minor, or general elective | 5 | Elective - certificate, minor, or general elective | 5 |
| Elective - certificate, minor, or general elective | 1 | Elective - certificate, minor, or general elective | 1 | ||
| 15 | 15 | 15 | |||
| Total Credits 180 | |||||
- 1
University Graduation Requirements (UGR) and Breadth Area Course Requirements (BACR) courses may be less than 5 credits and additional credits may be required to reach the required 180 total credits needed to graduate. Students should connect with an advisor to ensure they are on track to graduate.
- 2
Computer Science Elective-choose two from the approved list.
University Competencies and Proficiencies
English
Quantitative and Symbolic Reasoning
Placement and Clearance
Prior Learning/Sources of Credit AP, CLEP, IB
General Education Requirements (GER)
- Minimum Credits—180 cumulative credit hours
- 60 upper-division credits (300 level or above)
- 45 credits in residence (attendance) at Eastern, with at least 15 upper-division credits in major in residence at Eastern
- Minimum Cumulative GPA ≥2.0
Breadth Area Core Requirements (BACR)
Humanities and Arts
Natural Sciences
Social Sciences
University Graduation Requirements (UGR)
Diversity Course List
World Language (for Bachelor of Arts)
Global Studies Course List
Minor or Certificate
Senior Capstone Course List
Application for Graduation (use EagleNET) must be made at least two terms in advance of the term you expect to graduate (undergraduate and post-baccalaureate).
Use the Catalog Archives to determine two important catalog years.
Requirements in Degree Works are based on these two catalog years:
- The catalog in effect at the student's first term of current matriculation is used to determine BACR (Breadth Area Credit Requirements) and UGR (Undergraduate Graduation Requirements).
- The catalog in effect at the time the student declares a major or minor is used to determine the program requirements.
Students who earn a BS in Data Science from EWU should be able to:
- use theoretical mathematical/statistical concepts to perform analyses/computations;
- apply data mining tools using real-world big data;
- apply software to reduce and manage large data sets;
- communicate mathematical and statistical concepts both technically and non-technically;
- perform analysis with technology/software.