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St. Ambrose University 518 West Locust Davenport Iowa 52803 admit

St. Ambrose University 518 West Locust Davenport Iowa 52803 admit

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Graduate Curricula<br />

Admissions Appeal Procedure<br />

1. A written request for review must be submitted<br />

that describes any extenuating circumstances<br />

that would explain the non-qualifying<br />

GPA.<br />

2. In addition the candidate may also include letters<br />

of recommendation that speak to the candidates<br />

abilities and commitment to graduate<br />

level work.<br />

3. The candidate may also include any other<br />

materials he/she feels would be beneficial for<br />

admissions consideration.<br />

4. After reviewing the materials submitted by the<br />

candidate the department may request an<br />

interview.<br />

<strong>St</strong>udent Retention Policy<br />

1. The student must maintain at least a 3.0 average<br />

in all graduate course work.<br />

2. Only two C’s are allowed in graduate level<br />

courses including graduate level prerequisites.<br />

3. A student who falls below a 3.0 GPA in graduate<br />

work will be considered on probation.<br />

The student must remove the probationary<br />

status within 9 credit hours of course work. If<br />

the probationary status is not removed, the<br />

student is dismissed from the program.<br />

4. A student dismissed for academic reasons may<br />

reapply for admissions after one calendar year<br />

and should follow the Admissions Appeal<br />

Procedure.<br />

5. A course may be retaken only once in order to<br />

improve a grade and a maximum of three<br />

classes may be repeated for grade improvement<br />

purposes.<br />

6. There is no residency requirement.<br />

7. A student must complete the degree within a<br />

5-year period.<br />

Degree Requirements<br />

The requirements for the MS in ITM are divided<br />

into three components: computer core, business<br />

core, and electives.The minimum required credit<br />

hours is 36.<br />

All courses listed below are 3 credit hours.<br />

Computer Core: 15 credit hours required: CSCI<br />

560, 570, 600, 650, 640.<br />

Business Core: 9 credit hours required, (Up to 15<br />

credit hours may be required if the student needs<br />

the MBA leveling courses): MBA 507, 621, 670.<br />

Electives: Complete 12 credit hours from the following.<br />

(At least 9 credit hours must be selected<br />

from CSCI courses): CSCI 515, 610, 660, 700,<br />

750, 780, 790 (thesis research requires departmental<br />

approval. May be repeated for up to 6<br />

credit hours), MBA 782.<br />

Course Descriptions<br />

CSCI 515. Computer and Network<br />

Security<br />

3 credits<br />

This course will present the basic concepts and<br />

techniques for securing a computer system and<br />

for securing information systems in a network<br />

environment. Topics to be studied include – site<br />

security, security management, intrusion detection/protection,<br />

integrity management, and event<br />

recovery. Prerequisites: CSCI 370 or equivalent.<br />

CSCI 560. Advanced Database Management<br />

Systems<br />

3 credits<br />

Expanded coverage on normalization and SQL.<br />

Developing databases in different DBMS systems.<br />

Evaluate other means of accessing a database.<br />

This course provides students with an in-depth<br />

understanding of database application design and<br />

database management for large and small businesses;<br />

practical experience using formal database<br />

design methodologies in systems development;<br />

and an understanding of the technological issues<br />

of database systems in a modern IT infrastructure.<br />

The main topics include advanced modeling<br />

of business applications, database logical design,<br />

normalization through decomposition and synthesis,<br />

physical design, concurrency, security, and<br />

transaction management issues, contemporary<br />

issues of object-oriented databases, advanced<br />

database applications, multimedia databases,<br />

data warehousing, data mining, OLAP, and<br />

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