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Associate Degree in Data Analytics

Introduction

Associate Degree in Data Analytics Program Objectives The Program Aims to

  • Develop students’ expertise in statistical and machine learning tools for data analysis.
  • Equip students with skills in data management, programming, and visualization.
  • Teach students to solve real-world problems using analytical tools and statistical reasoning.
  • Prepare students for careers in business intelligence, healthcare analytics, financial modelling, and public policy analysis.

A.D in Data Analytics Program Learning Outcomes Graduates of this program will be able to

  • Collect, preprocess, and manage large datasets using computing languages and statistical software.
  • Apply statistical and machine learning models to derive insights from data.
  • Design effective data visualizations to communicate insights to non-technical audiences.
  • Use data analytics to support decision-making in a variety of fields.
  • Work effective in cross-disciplinary terms to address complex problems.

Eligibility Criteria

Higher secondary school certificate (involving 12 years of schooling) or an IBCC equivalent qualification in any group of studies is the minimum eligibility requirement for admission to the Bachelor of Science in Statistics.

Selection Process

Open Merit

Duration

2 Years

Medium of Instruction

English

Teaching Methodology

Face to Face Mode

Total Credits Hours Required

68

Sr. No.

Course Title

Course Code

Credit Hours

Category

1

Functional English

ENG 3505

3(3+0)

GE-1

2

Quantitative Reasoning-I

MATH 3508

3(3+0)

GE-2

3

Pakistani Adab-I

URD 3501

2(2+0)

GE-3

4

Islamic Studies / Ethics

ITHC 3501 / HADH 3501

2(2+0)

GE-4

5

Statistical Mathematics for Beginners

STAT 3510

3(3+0)

Major-1

6

Seerat-e-Tayyab

SERT 3501

Non-Credit

NC

7

Introduction to Data Analytics

STAT 3511

3(3+0)

Major

 

Total Credit Hours

 

16

 

Sr. No.

Course Title

Course Code

Credit Hours

Category

1

Expository Writing

ENGL 3504

3(3+0)

GE-5

2

Civics and Community Engagement

SOC 3503

2(2+0)

GE-6

3

Calculus-I

MATH 3502

3(3+0)

IDS-1

4

Ideology and Constitution of Pakistan

PAKST 3502

2(2+0)

GE-7

5

Applications of ICT

CS 3501

3(2+1)

GE-8

6

Fundamentals of Programming

STAT 3512

3(3+0)

Major-3

7

Fahm ul Quran-I

TFSR 3502

1(0+1)

GE-9

 

Total Credit Hours

 

17

 

Sr. No.

Course Title

Course Code

Credit Hours

Category

1

Fahm ul Quran-I

TFSR 4501

1(0+1)

GE-10

2

Calculus-II

MATH 3509

3(3+0)

IDS-2

3

Sampling and Sampling Distributions

STAT 3507

3(3+0)

Major-4

4

Entrepreneurship

MGT 3503

2(2+0)

GE-11

5

Data Visualization

STAT 4511

3(2+1)

Major-5

6

Pakistan Studies

PKST 3501

2(2+0)

GE-12

7

Introduction to Probability and Probability Distributions

STAT 3503

3(3+0)

Major-6

 

Total Credit Hours

 

17

 

Sr. No.

Course Title

Course Code

Credit Hours

Category

1

Regression Analysis

STAT 5507

3(3+0)

Major-7

2

Basic Statistical Inference

STAT 4501

3(3+0)

Major-8

3

Simulation Techniques in Data Analytics

STAT 4512

3(3+0)

Major-9

4

Quantitative Reasoning-II

MATH 4502

3(3+0)

GE-13

5

Data Wrangling

STAT 4510

3(2+1)

Major-10

6

Basics of Environmental Sciences

ENVS 4501

3(2+1)

GE-14

 

Total Credit Hours

 

18

 

1

2

3

4

5

6

Semesters

04

Assessment Weightage

For Theory Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Assignment 10 20% 50% (In aggregate)
2 Assignment 2 10
3 Mid Term 30 30%
4 Attendance 100 Nil 70%
5 Final Exam 100 50% 50%
For Theory-Practical Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Assignment 10 20% 50% (In aggregate)
2 Assignment 2 10
3 Mid Term 30 30%
4 Practical 15
5 Attendance 100 Nil 70%
6 Final Exam 100 50% 50%
For Practical/FYP Courses:
S.No. Components Total Marks Weightage Passing Marks
1 Attendance 100 Nil 70%
2 Final Exam 100 100% 50%

Note: Allama Iqbal Open University (AIOU) reserves the right to amend the fee structure policy, course offering and assessment of courses when required. The existing course(s) will be adopted/adapted as per requirement. The department may change the sequence of the course(s) offering as per availability of course(s).