Information Systems and Technology

The program may be completed entirely on campus, entirely online, or through a combination of on-campus and online courses. 

Admission

Bachelor's degree in engineering, a physical science, computer science, applied mathematics, business administration, or liberal arts with a minimum cumulative GPA of 3.0 or higher

Prerequisite Courses

  • A course in Data Structures (IMSE 350/351, CIS 350/352, or equivalent)
  • A course in computer programming, such as C++, Java/JavaScript, C#,  or Python (IMSE 255, IMSE/CIS 150/200, CIS 205 or equivalent)

These course requirements may be completed after admission into the program.

The MS in IS&T program is a response to the need of students who want to complement, extend, and integrate technical and organizational knowledge on information systems. The program designed meet the need of the industry to incorporate enterprise wide information systems to be competitive in the global market place. Students who possess either technical knowledge about computers and information systems, or knowledge about information needs and information system requirements in organizations, but who want to expand their knowledge in a constructive way, constitute an important part of the intended audience.

The degree aims to achieve simultaneously the following educational goals.

  1. Provide access to advances in the information systems field. 
  2. Provide necessary skills to effectively integrate information technology in organizations.
  3. Provide training in specialized areas of information systems and technology.

Degree Requirements

The degree MS in IS&T requires a minimum of 30 credit hours.

Minimum Grade Requirement in addition to maintaining a  minimum cumulative GPA of 3.0 or higher every semester:
1. Courses in which grades of C- or below are earned cannot be used to fulfill degree requirements.
2. No more than two courses in which grades of B- or below are earned can be used to fulfill degree requirements.

A minimum of a 3.0 cumulative GPA  or higher is required at the time of graduation.

Advanced Standing

Up to six graduate credit hours (grade of B or better) may be transferred from another accredited institution.

Students may transfer up to one-half (1/2) the minimum number of credit hours required for their master's or professional degree from another University of Michigan program.

Graduate Academic Policies can be found below:

http://catalog.umd.umich.edu/academic-policies-graduate/

Program Requirements

The program of study must satisfy the following distribution and course requirements:

Core Courses

IMSE 556Database Systems3
or CIS 556 Database Systems
IMSE 570Enterprise Information Systems3
or CIS 564 Enterprise Information Systems
IMSE 5725Object Oriented System Design3
or CIS 572 Object Oriented Systems Design
Total Credit Hours9

Concentration (15 credit hours)

Seven concentration areas exist in the program. Six of the concentration areas are identified below while the seventh is an individual concentration that student develops jointly with the Program Advisor.   Students are required to take 

Concentration Area 1: Information Management Applications (Students are required to take any 5 courses from the following list)

HCDE 530Information Visualization3
IMSE 515Fundamentals of Program Mgt3
IMSE 516Project Management and Control3
IMSE 5215Program Budget, Cost Est & Con3
IMSE/CIS 555Decision Support/Expert Sys3
IMSE 564Applied Data Analytics and Modeling for Enterprise Systems3
IMSE 5715Modeling of Int Info Syst3
IMSE 5755Bus Proc Int using Entrpr Tech3
IMSE 586Big Data Aanal & Visuliztn3
ACC 505Devel & Interp Financial Info3
HRM 561Human Resource Management3
MKT 515Marketing Management3

Concentration Area 2: Supply Chain and Information Systems Design (Students are required to take any 5 courses from the following list)

CIS 544Computer and Network Security3
IMSE 538Intelligent Manufacturing3
IMSE/CIS 555Decision Support/Expert Sys3
IMSE 559System Simulation3
IMSE 5655Supply Chain Management3
IMSE 5715Modeling of Int Info Syst3
IMSE 5755Bus Proc Int using Entrpr Tech3
IMSE 580Prod & Oper Engineering I3
IMSE 581Prod & Oper Engineering II3
IMSE 586Big Data Aanal & Visuliztn3

Concentration Area 3: Information Security (Students are required to take any 5 courses from the following list)

CIS 527Computer Networks3
CIS 535Wireless Technologies and Pervasive Computing3
CIS 540Foundation of Information Security3
CIS 544Computer and Network Security3
CIS 545Data Security and Privacy3
CIS 546Security and Privacy in Wireless Networks3
CIS 548Security and Privacy in Cloud Computing3
CIS 565Software Quality Assurance3
CIS 568Data Mining3
or ECE 537 Data Mining
CIS 584Advanced Computer and Network Security3
IMSE 5715Modeling of Int Info Syst3

Concentration Area 4: Web Information Management (Students are required to take any 5 courses from the following list)

CIS 525Web Technology3
CIS 534Semantic Web3
CIS 535Wireless Technologies and Pervasive Computing3
CIS 550Object-Oriented Programming and Its Applications3
CIS 559Principles of Social Network Science3
CIS 562Web Information Management3
CIS 571Web Services3
CIS 575Software Engineering Mgmt3
CIS 586Advanced Data Management3

Concentration Area 5: Information Systems Engineering (Students are required to take any 5 courses from the following list)

IMSE 5715Modeling of Int Info Syst3
IMSE 577Human-Computer Interaction3
or CIS 577 S/W User Interface Dsgn&Analys
CIS 527Computer Networks3
CIS 544Computer and Network Security3
CIS 550Object-Oriented Programming and Its Applications3
CIS 553Software Engineering3
CIS 568Data Mining3
or ECE 537 Data Mining
CIS 578Advanced Operating Systems3
CIS 586Advanced Data Management3

Concentration Area 6:  Data Analytics and Science (Students are required to take any 5 courses from the following list)

IMSE 500Models of Oper Research3
IMSE 505Optimization3
IMSE 514Multivariate Statistics3
IMSE 586Big Data Aanal & Visuliztn3
IMSE 605Advanced Optimization3
CIS 5570Introduction to Big Data3
CIS 568Data Mining3
or ECE 537 Data Mining
CIS 5700Advanced Data Mining3
CIS 579Artificial Intelligence3
CIS 585Advanced Artificial Intelligence3
ECE 5831Pat Rec & Neural Netwks3

Concentration Area 7:  Individual Concentration

Select 5 courses from Areas 1 through 6.  Requires Advisor's approval.

Electives (6 credit hours) 

Other CIS, ECE, IMSE and business graduate courses may be taken per advisor approval.

A thesis may be substituted for six hours of electives, on approval by the program director.

Learning Goals

  1. Provide access to advances in the information systems field.
  2. Provide necessary skills to effectively integrate information technology in organizations.
  3. Provide training in specialized areas of information systems and technology.