A Business Data Analyst designs, develops, implements and maintains business solutions for information delivery in business intelligence and data analyst professions.

At Anoka Techincal College, a Business Data Analyst education focuses on developing leadership and data analysis capabilities in students at all levels of an organization. In addition to strong technical skills, program graduates develop 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.

Flexibleafforadable Blk

Affordable & flexible learning options

Handsoneducation Blk

Hands-on training from industry experts

Advancement Blk

High growth rate compared to other careers in Minnesota.

Potential Jobs:

  • Data Analyst 
  • Information Specialist 
  • Business Intelligence Analyst
  • Marketing Research Analyst
  • Information Clerk

Marketing Research Analyst Highlight
Salary Information:
Median Wage: $38.08 per hour
Top Earners: $49.82 per hour

Information provided is for Minnesota. See current data at careerwise.minnstate.edu.

Profile 190C09AT 192X192

"The instructors being in the industry is a great benefit. They are members of a community who not only care about you as a student but they also really know their field."

Christian Koch
Business Data Analyst AAS degree

Program Details

Program Details (pdf)

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.

  1. Graduates will have knowledge and understanding of data analysis tools used in organizations.
  2. Graduates will have ability to prepare data and visualizations to help management in making decisions.
  3. Graduates will have knowledge and understanding or relational database, data retrieval, data quality and data preparation methods.
  4. Graduates will work various departments within an organization to validate, review and correct data discrepancies.
  5. Graduates will use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming (changing, updating, and deleting), and extracting information.
  6. Graduates will develop data visualizations and ad-hoc reports through collaboration with leadership to identify and define metrics that drive performance.

Businesses are making big investments 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.

Following the Data Scientist 80-20 rule, people working in the field can expect to spend 80 percent of the time in data mining and setting up the data to be analyzed, and 20 percent of the time doing analytical forecasting.

Wage information is available from the Minnesota Department of Education and the Minnesota Department of Employment and Economic Development

Take a self-guided virtual tour of our campus to see what it's like to be a student at Anoka Tech. View program labs, common student spaces, campus offices and more. 

Virtual Tour

Some courses in this program may require a prerequisite. Please see course descriptions for more details.

MnTC General Education Requirements

This program requires completion of the following twenty-two credits of general education from at least three goal areas of the Minnesota Transfer Curriculum (MnTC).

Course Number Course Title  Credits
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 Elective   4

Program Sequence Fall Start

Fall 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
Spring Semester
16
 BDAT 1000  Business Concepts 2
 BDAT 1010 Integrated Business Software 3
 ITEC 2120  DB Design & SQL 4
 PHIL 1200 Technology, Society, and Ethics 3
MnTC Elective   4
Fall Semester
15
 BDAT 1025  Data Preparation for Analytics 3
 BDAT 1030  Data Analysis 4
 ITEC 2700 Artificial Intelligence 4
 MATH 1550 Introduction to Statistics 4
 Spring Semester
14
BDAT 2140  Business Intelligence 3
 BDAT 2145  Special Topics in Analytics 3
 ENGL 2105  Business and Technical Writing 4
ITEC 1025 Project Management 4

Program Sequence Spring Start

Spring Semester 18
 BDAT 1005  Data Analysis Fundamentals 2
 ITEC 1003  Networking Fundamentals 2
 ITEC 1011  Programming Logic & Design 4
 ITEC 1016  Web Programming Technologies 4
 PHIL 1200 Technology, Society, and Ethics 3
 TLIT 1005  Technology Fundamentals 3
Fall Semester
15
 BDAT 1025  Data Preparation for Analytics 3
 BDAT 1030  Data Analysis 4
 ITEC 2700 Artificial Intelligence 4
 MATH 1550 Introduction to Statistics 4
Spring Semester
13
 BDAT 1025  Data Preparation for Analytics 3
 BDAT 1030  Data Analysis 4
 ITEC 2700 Artificial Intelligence 4
 MATH 1550 Introduction to Statistics 4
 Fall Semester
14
 BDAT 2140  Business Intelligence 3
 BDAT 2145  Special Topics in Analytics 3
 ENGL 2105  Business and Technical Writing 4
ITEC 1025 Project Management 4

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.

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.

First Semester Course Options

Required: TLIT1005 - Technology Fundamentals

Additional to be added until you reach desired credits:
BDAT 1005 - Data Analysis Fundamentals
ITEC 1003 - Networking Fundamentals
ITEC 1011 - Programming Logic & Design
ITEC 1016 - Web Development Technologies

View Course Schedule

Developmental Courses

Degree students must take MATH 1550 Introduction to Statistics which requires a ACCUPLACER QAS (Quantitative Reasoning, Algebra & Statistics) score of 265. Students who do not meet any of the prerequisites must take the appropriate developmental math course(s) (MATH 0801 Basic Math and/or MATH 0900 Elementary Algebra) as determined by the placement chart before taking MATH 1550.

For detailed questions about your program or to plan your long-term part-time sequence, reach out to your faculty advisor. 

Students must earn a cumulative 2.0 GPA or higher to be eligible for graduation from this program.

Faculty

Enrollment Services
EnrollmentServices@chiropractors-north-america.com
763-576-7710

Current Students

register for classes

Students must earn a cumulative 2.0 GPA or higher to be eligible for graduation from this program.

Apply to Graduate

A Business Data Analyst designs, develops, implements and maintains business solutions for information delivery in business intelligence and data analyst professions.

At Anoka Techincal College, a Business Data Analyst education focuses on developing leadership and data analysis capabilities in students at all levels of an organization. In addition to strong technical skills, program graduates develop 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.

Program Details

Program Details (pdf)

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.

By completing this program, students will achieve the following learning outcomes.

  1. Graduates will have knowledge and understanding of data analysis tools used in organizations.
  2. Graduates will have ability to prepare data and visualizations to help management in making decisions.
  3. Graduates will have knowledge and understanding or relational database, data retrieval, data quality and data preparation methods.
  4. Graduates will work various departments within an organization to validate, review and correct data discrepancies.
  5. Graduates will use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming (changing, updating, and deleting), and extracting information.
  6. Graduates will develop data visualizations and ad-hoc reports through collaboration with leadership to identify and define metrics that drive performance.

Some courses in this program may require a prerequisite. Please see course descriptions for more details.

Program Sequence Fall Start

Fall 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
Spring Semester
 9
 BDAT 1000  Business Concepts 2
BDAT 1010 Integrated Business Software 3
 ITEC 2120  DB Design & SQL 4
Fall Semester
11
 BDAT 1025  Data Preparation for Analytics 3
 BDAT 1030  Data Analysis 4
 ITEC 2700 Artificial Intelligence 4
 Spring Semester
10
 BDAT 2140  Business Intelligence 3
 BDAT 2145  Special Topics in Analytics 3

ITEC 1025

Project Management 4

Program Sequence Spring Start

Spring 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
Fall Semester
11
 BDAT 1025  Data Preparation for Analytics 3
 BDAT 1030  Data Analysis 4
 ITEC 2700 Artificial Intelligence 4
Spring Semester
9
BDAT 1000  Business Concepts 2
BDAT 1010 Integrated Business Software 3
 ITEC 2120  DB Design & SQL 4
 Fall Semester
10
 BDAT 2140  Business Intelligence 3
 BDAT 2145  Special Topics in Analytics 3
ITEC 1025 Project Management 4

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.

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.

First Semester Course Options

Required: TLIT1005 - Technology Fundamentals

Additional to be added until you reach desired credits:
BDAT 1005 - Data Analysis Fundamentals
ITEC 1003 - Networking Fundamentals
ITEC 1011 - Programming Logic & Design
ITEC 1016 - Web Development Technologies

View Course Schedule

Developmental Courses

Degree students must take MATH 1550 Introduction to Statistics which requires a ACCUPLACER QAS (Quantitative Reasoning, Algebra & Statistics) score of 265. Students who do not meet any of the prerequisites must take the appropriate developmental math course(s) (MATH 0801 Basic Math and/or MATH 0900 Elementary Algebra) as determined by the placement chart before taking MATH 1550.

For detailed questions about your program or to plan your long-term part-time sequence, reach out to your faculty advisor. 

Students must earn a cumulative 2.0 GPA or higher to be eligible for graduation from this program.

Start Dates:

Fall semester: August, October
Spring semester: January, March

Multiple start options each semester.

Upcoming Events:

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