Vide Item No 67 N Certificate Course in Data Analytics for Healthcare_1 Syllabus Mumbai University

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA

for information.

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AC - 17/05/2022
Item No. 6.7 (N)




UNIVERSITY OF MUMBAI













Syllabus
For
Certificate Course in
Data Analytics for Healthcare


(To introduce with effect from the academic year 2022 -23)

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PREAMBLE

This is with reference to the AICTE Initiative & University of Mumbai guidelines, Data
Analytics for Healthcare , thirty hours Value added certificate course is introduced from the
academic Year 2022 -23. The students may take up t his course as a value -added certificate course
offered by their Pharmacy Institute while pursuing their education in Pharmacy.

The primary aim and scope of this 30 hours certificate course is to impart specific skills that
students must acquire during their academic program with the aim of preparing well -rounded
learners. The Program will serve as a sound introduction to Data Analytics for Pharmacy students
even if they plan on not joining the domain in their industry career as well as institutional
research . The syllabus for the course shall be subjected to revision after every three years.
CERTIFICATE COURSE IN DATA ANALYTICS FOR HEALTHCARE
O. 6797 : Title of Course
"Certificate Course in Data Analytics for Healthcare”
O. 6798 :
Eligibility
A candidate for being eligible at admission to the Certificate Course in
‘Data Analytics for Healthcare’ must be student pursuing UG/ PG / Ph.D.
program in Pharmacy.
R. 9559 :
Duration of Course
30 Hours
R. 9560 :
Intake Capacity:
Maximum 45 candidates in one batch
Teachers: Subject experts from HEIs and industry having the domain knowledge
Regulation: Fees
It is an autonomous value -added paid course conducted at the
Institution level. Examination will be conducted by the Institute and
certificate will be issued by the Institute. However, the certificate will
be jointly signed by the principal and Director, B OEE with logos of
both organisations appearing on the certificate. All financial aspects
will be taken care by the institution running the course. There won’t
be any provision for sharing of fees with University of Mumbai.


EXAMINATION/ ASSESSMENT AND GRADING:
The certificate course shall be conducted at the Institute level. The institute shall conduct an
examination and issue a certificate of completion of the course with credits assigned.

Performance assessment of every registered learner is to be ca rried out through various modes of
examinations. These include Internal Assessment and Course Completion Exam.

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Table -1: Scheme for Assessment
Nature of Assessment Nomenclature Maximum
Marks
Internal Assessment/ Continuous
Mode of Assessment: to be
conducted intermittently during the
course conduction Quiz 1 10
Quiz 2 10
Quiz 3 10
Quiz 4 10
Course Completion Exam: to be
conducted upon completion of the
course Course Completion Exam 60
Total 100

Paper pattern for Internal Assessment i.e. Quiz
Question paper pattern for Quiz:
I. Multiple Choice Questions (MCQs) [Duration: 20 Mins] = 10 x 1 = 10
(Answer all the questions)
Total = 10 marks

Paper pattern for Course Completion Exam
Question paper pattern for Course Completion Exam:
MCQs : (Answer all the questions) [Duration: 60 Mins] = 30 x 2 = 60
Total = 60 marks





GRADING OF PERFORMANCES
 Letter grades and grade points allocations:
Based on the performances, each student shall be awarded a final letter grade at the completion of
the course . The letter grades and their corresponding grade points are given in Table – 2.
Table – 2: Letter grades and grade points equivalent to Percentage of marks and performances
Percentage of Marks Obtained Letter Grade Performance
90.00 – 100 O Outstanding
80.00 – 89.99 A Excellent
70.00 – 79.99 B Good
60.00 – 69.99 C Fair
50.00 – 59.99 D Average
Less than 50 F Fail
Absent AB Fail
A learner who remains absent for Course Completion E xamination shall be assigned a letter grade
of AB and a corresponding grade point of zero. He/she should reappear for the said
evaluation/examination in due course.

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CRITERIA FOR AWARD OF THE CERTIFICATE:
A student shall be declared PASS and eligible for getting the certificate of completion of the
course if he/she secures at least 50% marks in the course out of a total of 100 marks. There are no
separate criteria for passing in the individual head of assessment.

The list of the students successfully completing the certificate course will be submitt ed by the host
institute to University of Mumbai along with the certificate signed by the head of the host
institute. The certificate will be jointly signed by the head of the host institute and Director, Board
of examination and evaluation and will bear l ogo of both - host institute and University of
Mumbai.

The detailed syllabus of the Data Analytics for Healthcare certificate course is given in the consequent
section of this document.


Dr. Anuradha Majumdar (Dean, Science and Technology)
Prof. Shivram Garje (Associate Dean, Science)
Prof. Supriya Shidhaye (Chairperson BoS)
Dr. Shrirang Joshi (Member BoS)
Prof. K.G. Akamanchi (Member BoS)
Prof. Krishna Iyer (Member BoS)
Prof. Rajani Athawale (Member BoS)
Dr. Mohan Kale (Member BoS)
Dr. Meena Kanyalkar (Member BoS)

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Data Analytics for Healthcare
(Total Hours - 30)

Course Code Course Name Credits
PH-DA Data Analytics for Healthcare 03

 Prerequisites:
o Desire to learn Data analytics and Programming Languages
o Knowledge of higher school level math
 Course Outcomes: After completion of this course students should be able to:
o Understand what is Data Science
o Handle Big data and statistically analyze it
o Explore the applications of Programming Languages – Tableau & Python with respect to healthcare
domain
Unit no. Course content (topics and subtopics) Hours
1. Data Analysis in Excel 1
2. Analytics Problem Solving 2
3. Math For Machine Learning
The prerequisite mathematical tools and techniques for ML - Linear
Algebra and Multivariable Calculus and statistics (Hypotesis testing,
ANOVA,ChiSqaure etc.) 2
4. Tableau 10
4.1. Introduction to Tableau Architecture
4.2. Blending of Visual Analytics, Tableau Architecture and User
Interface
4.3. Data Types , Field Types and Data Interpreter
4.4. Functions and Data Visualization
4.5. Tableau Dashboard 1
2
2
3
2
5. Python 15
5.1. Introduction to Python and application of Python in data science
5.2. Python Libraries
5.3. Pandas
5.4. Data Visualization in Python, Matplatlib
5.5. Data analysis using Structured Query Language (SQL), Advanced
SQL 3
3
3
3
3
Total 30
* Healthcare related case studies should be discussed in relevance to the topics mentioned in the syllabus.
Reference s:
1. Python for Data Science for Dummies, by Luca Massaron John Paul Mueller (Author), Wiley
2. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition by William
McKinney (Author), Shroff/O'Reilly
3. Data Science from Scratch: First Principles with Python, Second Edition by Joel Grus, Sh roff/O'Reilly
4. Pandas for Everyone: Python Data Analysis, by Daniel Y. Chen, Pearson Education
5. SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data
With SQL by Walter Shields, ClydeBank Media LLC; 1st edition
6. The Language of SQL: How to Access Data in Relational Databases , by Larry Rockoff , Delmar Cengage
Learning
7. Learning Tableau 2020: Create effective data visualizations, build interactive visual analytics, and transform
your organization, 4th Edition , Packt Publishing Limited; 4th edition

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(Appendix ‘B’)



New ordinances 6797 & 6798 relating to the
Certificate Course in Data Analytics for Healthcare


1 Necessity of starting these courses
The primary aim and scope of suggesting value -added course
undermentioned are to boost the employability of the B. Pharm students
and to help them to be at par with global trends and global technology.

With the internet revolution and technology progress, huge data is
generated by the public and private sectors. The data generated by the
healthcare industry includes medical records, hospital records, diagnostic
results and much more. This data needs to be stored, processed, and
analyzed systematically to a rticulate meaningful information. Hence,
companies are seeking solutions in data analytics. Data analytics is helping
the pharmaceutical industry to accelerate drug discovery and development,
analyze extensive research data, optimize and improve the effica cy of clinical
trials and improve drug delivery and healthcare outcomes. It is imperative
for students to learn the basics of this tool and know about its application
in healthcare. The Data analytics in healthcare value -added course will help
to bridge th e students to this field.
2 Whether UGC has recommended to start the said courses?
The UGC quality mandate states that to ensure holistic development of the
students at the university/college level, efforts need to be made to reorient
the teaching pattern with a focus on all types of courses including Elective
courses — chosen by students from other departments as per their aptitude.
UGC Quality mandate mentions Learning Outcome -based Curriculum
Framework (LOCF) — revision of curriculum in regular i ntervals. Under this
objective, UGC suggests that HEIs should boost the employability of
graduates through curriculum reform.

National Education Policy (chapter 20.5) mentions –―India must also take the
lead in preparing professionals in cutting -edge area s that are fast gaining
prominence, such as Artificial Intelligence (AI), 3 -D machining, big data
analysis, and machine learning, in addition to genomic studies,
biotechnology, nanotechnology, neuroscience, with important applications to
health, environmen t, and sustainable living that will be woven into
undergraduate education for enhancing the employability of the youth‖

Most organizations across the globe are turning to data analytics. This
course will help students to learn to generate descriptive stat istical reports,
build regression models, test hypotheses, and some techniques of
multivariate statistics.
3 Whether all the courses have commenced from the academic year 2022 -
23?

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It is proposed to be introduced from academic year 2022 -23. Since it is
avalue -added course, not confined within the framework of syllabus of B.
Pharm/ M. Pharm / Ph.D. for award of degree or credit transfer, any
affiliated Pharmacy college can conduct the coursebased on the availability of
the resource persons and interest of the students. Students may take up the
course as per their interests. Any student pursuing UG/ PG / Ph.D. program
in Pharmacy is eligible for admission to this course.
4 The courses started by the University are self -financed, whether
adequate number of eligible permanent faculties are available?
It is a paid course. It is optional for theUOM -affiliated colleges to conduct the
course at their respective institutions. It is an autono mous value -added
course independent of the student -teacher ratio and may be delivered by
guest faculty from HEIs and Industry.
5 To give details regarding duration of the Course and is it possible to
compress the course?
 Duration: 30 Hours
 This is the minimum duration required and not recommended for further
compression.
6 The intake capacity of each course and number of admissions given in
the current academic year 2022 -23?
Batch size should be ideally restricted to maximum 45 to increase the
effect iveness of the course. The course is proposed to be introduced from
academic year 2022 -23
7 Opportunities of employability / employment available after
undertaking these courses.
Healthcare data analysts collect and analyze the data obtained from variou s
sources such as patient records, Medi -claims, patient -satisfaction surveys)
and interpret it to help organizations improve the quality. This course will
help the students to venture into this field and impart them understanding of
this job role.


Signature –
Dr.SupriyaShidhaye,
Chairman, Ad -hoc Board of Studies in Pharmacy
Under the faculty of Scie