Business Data Analyst
We are glad to see you are interested in the Business Data Analyst program. A visit with Enrollment Services is a great way to get your questions answered. Attend a Tuesday virtual information session, a Wednesday in-person information session or schedule a one-on-one video chat appointment today.
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Program Information
The Business Data Analyst education plan focuses on developing leadership and data analysis capabilities in students at all levels in organizations. The Business Data Analyst will design, develop, implement, and maintain business solutions for information delivery. In addition to very strong technical skills, the student will have superb business process analysis and interpersonal skills, the ability to extract and analyze data patterns, and the ability to synthesize the data into information consumable by senior business decision makers.
The Data Analyst graduate will receive the knowledge and skills necessary for employment and growth in entry-level business intelligence and data analyst professions. They will assist in the process of inspecting, cleansing, testing, and transforming data. Graduates will help interpret and visualize the data using various software tools and techniques to provide support in all decision making phases. Graduates will gain a solid understanding of information technology and applications used to support decision making. The Data Analyst graduate will have the opportunity to interact and work with various functional managers in all parts of the company.
Program Learning Outcomes
- Graduates will have knowledge and understanding of data analysis tools used in organizations.
- Graduates will have ability to prepare data and visualizations to help management in making decisions.
- Graduates will have knowledge and understanding or relational database, data retrieval, data quality and data preparation methods.
- Graduates will work various departments within an organization to validate, review and correct data discrepancies.
- Graduates will use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming (changing, updating, and deleting), and extracting information.
- Graduates will develop data visualizations and ad-hoc reports through collaboration with leadership to identify and define metrics that drive performance.
Career Opportunities
- Businesses are investing big-time in data analysis. Spending on big data and analytics will increase from $10 billion in 2012 to more than $32 billion in 2017, according to International Data Corporation. In context, that’s about six times the growth rate of the overall information and communication technology market. Source: Minnesota Business Magazine.
- Data Scientist 80-20 rule- 80% of the time is data mining, and setting up the data to be analyzed, and 20% of the time is doing the analytical forecasting.
- Creates an entry to the workforce; Middle Skill Big Data Workers (MSBDW)
- Closet occupational field is Data Analyst, which is expected to grow 20-28 percent. As markets become more competitive, firms will need to use resources more efficiently. (U.S. Department of Labor, 2012)
Wage information is available from the Minnesota Department of Education and the Minnesota Department of Employment and Economic Development.
Job Titles:
- Data Analyst
- Business Data Analyst
- Information Specialist
- Business Intelligence Analyst
- Operations Data Analyst
- Marketing Research Analyst
- Information Clerk
Course Prerequisites
Some courses in this program may require a prerequisite. Please see course descriptions for more details.
Program Sequence
MnTC General Education Requirements
|
| This program requires completion of the following fifteen credits of general education from at least three goal areas of the Minnesota Transfer Curriculum (MnTC). Refer to the MnTC course list for elective courses: |
ENGL 2105
|
Business and Technical Writing (Goal 1&2) |
4
|
MATH 1550
|
Introduction to Statistics (Goal 4) |
4
|
PHIL 1200
|
Technology, Ethics and Society (Goal 9) |
3
|
MnTC Electives
|
|
4
|
First Semester
|
15
|
Course Number
|
Course Title
|
Credits
|
BDAT 1005
|
Data Analysis Fundamentals |
2
|
ITEC 1003
|
Networking Fundamentals
|
2
|
ITEC 1011
|
Programming Logic & Design |
4
|
ITEC 1016
|
Web Programming Technologies
|
4
|
TLIT 1005
|
Technology Fundamentals
|
3 |
Second Semester
|
14
|
BDAT 1000
|
Business Concepts
|
2
|
| ITEC 2120 |
DB Design & SQL |
4
|
ITEC 2700
|
Artificial Intelligence
|
4
|
MATH 1550
|
Introduction to Statistics
|
4 |
Third Semester
|
18
|
BDAT 1025
|
Data Preparation for Analytics
|
3
|
BDAT 1030
|
Data Analysis
|
4 |
ITEC 1025
|
Project Management
|
4 |
MnTC Elective
|
|
4
|
PHIL 1200
|
Technology, Society, and Ethics |
3
|
Fourth Semester
|
13
|
| BDAT 1010 |
Integrated Business Software
|
3
|
BDAT 2140
|
Business Intelligence
|
3
|
BDAT 2145
|
Special Topics in Analytics |
3
|
ENGL 2105
|
Business and Technical Writing
|
4
|
Part-Time Options
Students can choose to complete this program part-time. Part-time students will take longer to complete their program than students who follow the full-time sequence listed on the official program guide (see the program guide PDF under the LINKS section to the right). Because every course may not be offered each semester, it is important for part-time students to reach out to their faculty advisors for help in planning their long-term, part-time course sequence. Refer to the below PDF document for first semester part-time course options and further information.
Part-time OptionGraduation Requirements
Students must earn a cumulative 2.0 GPA or higher to be eligible for graduation from this program.
Faculty
The Data Analyst graduate will receive the knowledge and skills necessary for employment and growth in entry-level business intelligence and data analyst professions. They will assist in the process of inspecting, cleansing, testing, and transforming data. Graduates will help interpret and visualize the data using various software tools and techniques to provide support in all decision making phases. Graduates will gain a solid understanding of information technology and applications used to support decision making. The Data Analyst graduate will have the opportunity to interact and work with various functional managers in all parts of the company.
Program Learning Outcomes
By completing this program, students will achieve the following learning outcomes.
- Graduates will have knowledge and understanding of data analysis tools used in organizations.
- Graduates will have ability to prepare data and visualizations to help management in making decisions.
- Graduates will have knowledge and understanding or relational database, data retrieval, data quality and data preparation methods.
- Graduates will work various departments within an organization to validate, review and correct data discrepancies.
- Graduates will use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming (changing, updating, and deleting), and extracting information.
- Graduates will develop data visualizations and ad-hoc reports through collaboration with leadership to identify and define metrics that drive performance.
Career Opportunities
- Businesses are investing big-time in data analysis. Spending on big data and analytics will increase from $10 billion in 2012 to more than $32 billion in 2017, according to International Data Corporation. In context, that’s about six times the growth rate of the overall information and communication technology market. Source: Minnesota Business Magazine.
- Data Scientist 80-20 rule- 80% of the time is data mining, and setting up the data to be analyzed, and 20% of the time is doing the analytical forecasting.
- Creates an entry to the workforce; Middle Skill Big Data Workers (MSBDW)
- Closet occupational field is Data Analyst, which is expected to grow 20-28 percent. As markets become more competitive, firms will need to use resources more efficiently. (U.S. Department of Labor, 2012)
Wage information is available from the Minnesota Department of Education and the Minnesota Department of Employment and Economic Development.
Job Titles:
- Data Analyst
- Business Data Analyst
- Information Specialist
- Business Intelligence Analyst
- Operations Data Analyst
- Marketing Research Analyst
- Information Clerk
Course Prerequisites
Some courses in this program may require a prerequisite. Please see course descriptions for more details.
Program Sequence
First Semester
|
15
|
BDAT 1005
|
Data Analysis Fundamentals |
2
|
ITEC 1003
|
Networking Fundamentals
|
2
|
ITEC 1011
|
Programming Logic & Design |
4
|
ITEC 1016
|
Web Programming Technologies
|
4
|
TLIT 1005
|
Technology Fundamentals
|
3 |
Second Semester
|
10
|
BDAT 1000
|
Business Concepts
|
2
|
| ITEC 2120 |
DB Design & SQL |
4
|
ITEC 2700
|
Artificial Intelligence
|
4
|
Third Semester
|
11 |
BDAT 1025
|
Data Preparation for Analytics
|
3
|
BDAT 1030
|
Data Analysis
|
4 |
ITEC 1025
|
Project Management
|
4 |
Fourth Semester
|
9 |
| BDAT 1010 |
Integrated Business Software
|
3
|
BDAT 2140
|
Business Intelligence
|
3
|
BDAT 2145
|
Special Topics in Analytics |
3
|
Part-Time Options
Students can choose to complete this program part-time. Part-time students will take longer to complete their program than students who follow the full-time sequence listed on the official program guide (see the program guide PDF under the LINKS section to the right). Because every course may not be offered each semester, it is important for part-time students to reach out to their faculty advisors for help in planning their long-term, part-time course sequence. Refer to the below PDF document for first semester part-time course options and further information.
Part-time OptionGraduation Requirements
Students must earn a cumulative 2.0 GPA or higher to be eligible for graduation from this program.
Faculty
Start
Fall: August
Spring: January
(Also multiple start options each semester)
Award
AAS Degree
Diploma
Contact
Jerry Kne
Jkne@anokatech.edu
Enrollment Services
EnrollmentServices@anokatech.edu
763-576-7710