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Students
Tuition Fee
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Program Facts
Program Details
Degree
Diploma
Major
Computer Science
Discipline
Computer Science & IT
Minor
Data Modeling/Warehousing and Database Administration
Course Language
English
About Program

Program Overview


This program in Database Technology provides the foundational knowledge and skills for a career in computer and information science, with a focus on designing and implementing database systems. It covers core concepts such as SQL, database programming, and data modeling, as well as advanced topics like object-oriented databases, big data systems, and distributed database design. The program prepares students for careers in database management, data analysis, and software development.

Program Outline

Outline:


Database Technology (GC)

10 credits This program provides the basic concepts, skills, and values for pursuing a career in computer and information science, emphasizing design and implementation of sophisticated database systems and related software.


Program Requirements


Common Core


CIS 540 Database Management Systems

4 credits Extensive coverage of SQL, database programming, large scale data modeling, and database enhancement through reverse engineering. This course also covers theoretical concepts of query processing, and optimization, basic understanding of concurrency control and recovery, and database security and integrity in centralized/distributed environments. Team-oriented projects in a heterogeneous client server environment.


Prerequisites:

none


CIS 640 Advanced Database Systems

3 credits In-depth study of advanced topics such as object-oriented databases, intelligent database systems, parallel databases, database mining and warehousing, distributed database design and query processing, multi-database integration and interoperability, and multilevel secure systems.


Prerequisites:


CIS 641 Big Data Systems

3 credits In this course, students will design and implement distributed big data architecture. The architecture consists integration of homogenous and heterogeneous databases and other structured and unstructured data sources. Students will apply concepts of distributed recovery and optimization, and other related topics.


Prerequisites:

none

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